CN117911957B - Prevention and control monitoring system and method for ornamental sunflower diseases and insect pests - Google Patents
Prevention and control monitoring system and method for ornamental sunflower diseases and insect pests Download PDFInfo
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Abstract
The application relates to the technical field of agricultural informatization, in particular to a control and monitoring system and method for ornamental sunflower diseases and insect pests, which are used for collecting information of disease and insect pest infection organs in plants to be detected, recording synchronous disease and insect pest infection of various disease and insect pest infection organs in each sub plant to be detected and recording actual disease and insect pest infection of various disease and insect pest infection organs; respectively converting to obtain a first pest infection weight vector, and converting the actual pest infection record to obtain a second pest infection weight vector; calculating a first composite plant disease and insect pest infection vector of each type of plant disease and insect pest infection organ in the sub-plant to be detected in a preset period according to the information of each type of plant disease and insect pest infection organ in the sub-plant to be detected, and generating plant disease and insect pest infection probability report information of each type of plant disease and insect pest infection organ in the sub-plant to be detected. The application can effectively and accurately monitor the plant diseases and insect pests of ornamental sunflower, accurately monitor the concurrency of multiple organs and reasonably and moderately treat the plant diseases and insect pests.
Description
Technical Field
The application relates to the technical field of agricultural informatization, in particular to a control and monitoring system and method for ornamental sunflower diseases and insect pests.
Background
The plant diseases and insect pests are one of important factors which damage the growth of the sunflower plants and influence the yield in the production process of the sunflower plants, and seriously influence the agricultural productivity and the economic development. However, when the sunflower plants suffer from various diseases and insect pests, farmers often misjudge and delay the best control time and cause economic loss because of lack of knowledge of monitoring and control of the diseases and insect pests.
At present, three monitoring methods for plant diseases and insect pests of sunflower plants mainly exist, one of the three methods is a monitoring method based on mathematical statistics, but the application of the method depends on a large amount of complete historical data, the collection and the excavation of the historical data take years, and the application range of the method is narrow; secondly, a monitoring method based on mode monitoring and machine learning is difficult in a feature extraction level, samples required by model training are rare, and a trained model cannot be directly used; thirdly, the monitoring method based on deep learning can be applied to monitoring plant diseases and insect pests of sunflower plants, but the monitoring effect is poor.
Disclosure of Invention
The application mainly aims to provide a control and monitoring system and method for ornamental sunflower diseases and insect pests, which are used for solving the problem of low monitoring efficiency of the ornamental sunflower diseases and insect pests in the prior art.
In order to achieve the above purpose, the present application provides the following technical solutions:
According to a first aspect of the invention, the invention claims a method for controlling and monitoring plant diseases and insect pests of ornamental sunflower, comprising:
Collecting the number value of pest infection organs, the metadata attribute value of the pest infection organs and the infection image data of different types of pest infection organs in plants to be detected;
Planning the plant to be detected into a plurality of sub-plants to be detected based on the number value of the pest infection organs, wherein each sub-plant to be detected comprises at least one type of pest infection organ;
collecting synchronous pest infection records of various pest infection organs in each sub-plant to be detected in a first period before a preset period and actual pest infection records of the various pest infection organs in each sub-plant to be detected in a second period in real time;
respectively converting the contemporaneous pest infection records of the pest infection organs of the various types into pest infection weights to obtain a first pest infection weight vector, and converting the actual pest infection records of the pest infection organs of the various types into pest infection weights to obtain a second pest infection weight vector;
Calculating a first composite plant disease and insect pest infection vector of each type of plant disease and insect pest infection organ in the sub-plant to be detected in the preset period according to the metadata attribute value of each type of plant disease and insect pest infection organ in the sub-plant to be detected, the first plant disease and insect pest infection weight vector and the second plant disease and insect pest infection weight vector, wherein the first composite plant disease and insect pest infection vector comprises a first composite plant disease and insect pest infection parameter of each type of plant disease and insect pest infection organ in the sub-plant to be detected, and the first composite plant disease and insect pest infection vector is used for representing the resistance improvement efficiency difference of each type of plant disease and insect pest infection organ in the sub-plant to be detected before and after the preset period;
And generating plant disease and pest infection probability report information of the plant disease and pest infection organs of various types in the sub-plants to be detected based on the infection image data of the plant disease and pest infection organs of various types and the first composite plant disease and pest infection parameters.
Further, before the step of collecting the number value of pest infected organs, the metadata attribute value of the pest infected organs and the infection image data of different types of pest infected organs in the plant to be detected, the method further comprises:
Inputting the number value of the plant disease and insect pest infected organ into a plant disease and insect pest infected organ database, wherein the number value comprises organ number values with different infection grades;
inputting the metadata attribute values of the pest infected organs into the pest infected organ database, wherein the metadata attribute values comprise type classification of the pest infected organs and susceptibility to pest of the pest infected organs;
inputting the infection image data of the pest infection organ into the pest infection organ database, wherein the infection image data comprises pest infection records of the pest infection organ in different artificial environments and natural environments;
The step of collecting the number value of the pest infected organs, the metadata attribute value of the pest infected organs and the infected image data of different types of pest infected organs in the plant to be detected comprises the following steps:
selecting the plant to be detected, and obtaining organ quantity values for limiting different infection levels of the plant to be detected;
Collecting the plant disease and insect pest infection organs of the plant to be detected, metadata attribute values of the plant disease and insect pest infection organs of the plant to be detected and infection image data of different types of plant disease and insect pest infection organs of the plant to be detected from the plant disease and insect pest infection organ database.
Further, the step of converting the contemporaneous pest infection record of each type of pest infection organ into pest infection weights to obtain a first pest infection weight vector, and converting the actual pest infection record of each type of pest infection organ into a pest infection weight to obtain a second pest infection weight vector, includes:
according to the prevention difficulty values of different types of plant diseases and insect pests and the cure rate of the plant diseases and insect pests in the synchronous plant disease and insect pest infection record of each type of plant disease and insect pest infection organ, calculating to obtain a first plant disease and insect pest infection weight of the plant disease and insect pest infection organ of the type, and forming a first plant disease and insect pest infection weight vector by the first plant disease and insect pest infection weights of the plant disease and insect pest infection organs of the different types;
According to the prevention difficulty values of different types of plant diseases and insect pests in the actual plant disease and insect pest infection record of each type of plant disease and insect pest infection organ and the cure rate of the type of plant disease and insect pest, calculating to obtain a second plant disease and insect pest infection weight of the type of plant disease and insect pest infection organ, and forming a second plant disease and insect pest infection weight vector by the second plant disease and insect pest infection weights of different types of plant disease and insect pest infection organs.
Further, the step of calculating a first composite pest infection vector of each type of pest infection organ in the sub-plant to be detected in the preset period according to the metadata attribute value of each type of pest infection organ in the sub-plant to be detected, the first pest infection weight vector and the second pest infection weight vector includes:
Collecting a life cycle disease and pest conversion curve of each type of disease and pest infected organ based on the type classification of the disease and pest infected organ in the sub-plant to be detected, wherein the abscissa of the life cycle disease and pest conversion curve is the easily infected disease and pest of the disease and pest infected organ, and the ordinate of the life cycle disease and pest conversion curve is the resistance improvement rate of the disease and pest infected organ;
Calculating to obtain a first disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infection organs in the sub-plants to be detected in the first period, the first disease and pest infection weight vector and the duration of the first period;
Calculating to obtain a second disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infection organs in the sub-plant to be detected in the second period, the second disease and pest infection weight vector and the duration of the second period;
And calculating a first composite plant disease and insect pest infection vector of each type of plant disease and insect pest infection organ in the sub-plant to be detected in the preset period according to the first plant disease and insect pest symptom co-occurrence vector and the second plant disease and insect pest symptom co-occurrence vector.
Further, the step of calculating a first composite pest infection vector of each type of pest infection organ in the sub-plant to be detected in the preset period according to the metadata attribute value of each type of pest infection organ in the sub-plant to be detected, the first pest infection weight vector and the second pest infection weight vector is realized by the following formula:
;
;
;
Wherein, Is the first disease and pest symptom co-occurrence vector,/>For the first pest infection weight vector,/>For the first cycle of resistance improvement rate,/>For the duration of the first cycle,/>For the second disease and pest symptom co-occurrence vector,/>For the second pest infection weight vector,/>For the second cycle resistance improvement rate,/>For the duration of the second period of time,For the first complex pest infection vector,/>A first pest symptom co-occurrence vector representing an ith type of pest infected organ,/>A second pest symptom co-occurrence vector representing an ith type of pest infected organ,/>Representing a first pest infection weight of an ith type of pest infected organ,/>Representing a second pest infection weight of the ith type of pest infected organ,/>Representing the rate of resistance increase of the ith type of pest infected organ in the first cycle,/>A first complex pest infection parameter representing an ith type of pest infection organ, n being the number of pest infection organs in the sub-plant to be detected, i and n being positive integers and/>。
Further, the step of generating the pest infection probability report information of the pest infection organs of the various types in the sub-plants to be detected based on the infection image data of the pest infection organs of the various types and the first composite pest infection parameters includes:
collecting the artificial environment and the natural environment of various types of pest infection organs in the sub-plants to be detected when the plant diseases and insect pests infection organs work in a first period, and the artificial environment and the natural environment of various types of pest infection organs in the sub-plants to be detected when the plant diseases and insect pests infection organs work in a second period;
Acquiring a first theoretical disease and pest infection record corresponding to each type of disease and pest infection organ based on the artificial environment and the natural environment of each type of disease and pest infection organ in the sub-plant to be detected when working in a first period, and acquiring a second theoretical disease and pest infection record corresponding to each type of disease and pest infection organ based on the artificial environment and the natural environment of each type of disease and pest infection organ in the sub-plant to be detected when working in a second period;
Calculating and obtaining second composite pest infection parameters of various pest infection organs in the sub-plants to be detected before and after the preset period based on the first theoretical pest infection record and the second theoretical pest infection record;
Comparing the second composite plant disease and insect pest infection parameters of various plant disease and insect pest infection organs in the sub-plants to be detected before and after the preset period with the first composite plant disease and insect pest infection parameters of various plant disease and insect pest infection organs in the sub-plants to be detected, and generating and sending report information of the exceeding of the plant disease and insect pest infection probability of the target plant disease and insect pest infection organs when the target plant disease and insect pest infection organs with the first composite plant disease and insect pest infection parameters larger than the second composite plant disease and insect pest infection parameters exist in the sub-plants to be detected.
Further, the step of calculating to obtain second composite pest infection parameters of various pest infection organs in the sub-plant to be detected before and after the preset period based on the first theoretical pest infection record and the second theoretical pest infection record includes:
Calculating a third disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infection organs in the sub-plant to be detected in the first period, the first theoretical disease and pest infection record and the duration of the first period;
calculating a fourth disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infected organs in the sub-plant to be detected in the second period, the second theoretical disease and pest infection record and the duration of the second period;
and calculating a second composite pest infection parameter of each type of pest infection organ in the sub-plant to be detected before and after the preset period according to the third pest symptom co-occurrence vector and the fourth pest symptom co-occurrence vector.
Further, before the step of generating and transmitting report information that the probability of pest infection of the target pest infection organ exceeds the standard when the target pest infection organ with the first composite pest infection parameter being greater than the second composite pest infection parameter exists in the sub-plant to be detected, the method further includes:
creating a plant distribution diagram of the distribution of each type of pest infection organ in different sub-plants to be detected of the plant to be detected;
When the target plant infection organ with the first composite plant infection parameter being larger than the second composite plant infection parameter exists in the sub-plant to be detected, sending report information that the plant infection probability of the target plant infection organ exceeds the standard,
And lighting the target plant disease and insect pest infection organ in the plant distribution schematic diagram, and sending the plant distribution schematic diagram after lighting the target plant disease and insect pest infection organ to a user side which is in communication connection with a server.
Further, the step of generating and transmitting the report information that the pest infection probability of the target pest infected organ exceeds the standard further includes:
inputting the type of the target pest infection organ, the difference value of the first composite pest infection parameter and the second composite pest infection parameter and the preset period into a pre-trained pest out-of-standard cause analysis model, wherein the pest out-of-standard cause analysis model is used for analyzing the target pest infection organ based on the type of the target pest infection organ, the second composite pest infection parameter and the preset period to obtain the cause of out-of-standard pest infection probability of the target pest infection organ, and the cause of out-of-standard pest infection probability of the target pest infection organ comprises aging or damage of component parts of the target pest infection organ;
generating the report information according to the number value of the target plant diseases and insect pests infected organs and the reason that the probability of plant diseases and insect pests infected by the target plant diseases and insect pests infected organs exceeds the standard, and transmitting the report information;
The step of lighting the target pest infection organ in the plant distribution diagram and sending the plant distribution diagram after lighting the target pest infection organ to a user terminal in communication connection with a server comprises the following steps:
And lighting the target plant disease and pest infection organs in the plant distribution diagram based on the number value of the target plant disease and pest infection organs, marking the reasons of the exceeding of the plant disease and pest infection probability of the target plant disease and pest infection organs in the plant distribution diagram, and then sending the plant distribution diagram to a user side in communication connection with a server.
According to a second aspect of the present invention, the present invention claims a control and monitoring system for ornamental sunflower diseases and insect pests, applied to a server, the system comprising:
The first acquisition module is used for acquiring the quantity value of the pest infection organs, the metadata attribute value of the pest infection organs and the infection image data of different types of pest infection organs in the plant to be detected;
a planning module, configured to plan the plant to be detected into a plurality of sub-plants to be detected based on the number value of the pest infection organs, where each sub-plant to be detected includes at least one type of pest infection organ;
The second acquisition module is used for acquiring synchronous pest infection records of various pest infection organs in each sub-plant to be detected in a first period before a preset period and actual pest infection records of various pest infection organs in each sub-plant to be detected in a second period in real time;
The conversion module is used for respectively converting the contemporaneous pest infection records of the various types of pest infection organs into pest infection weights to obtain a first pest infection weight vector, and converting the actual pest infection records of the various types of pest infection organs into the pest infection weights to obtain a second pest infection weight vector;
The calculating module is used for calculating a first composite plant disease and insect pest infection vector of each type of plant disease and insect pest infection organ in the sub-plant to be detected in the preset period according to the metadata attribute value of each type of plant disease and insect pest infection organ in the sub-plant to be detected, the first plant disease and insect pest infection weight vector and the second plant disease and insect pest infection weight vector, wherein the first composite plant disease and insect pest infection vector comprises a first composite plant disease and insect pest infection parameter of each type of plant disease and insect pest infection organ in the sub-plant to be detected, and the first composite plant disease and insect pest infection vector is used for representing the difference between the resistance improving efficiency of each type of plant disease and insect pest infection organ in the sub-plant to be detected before and after the preset period;
The generation module is used for generating plant disease and insect pest infection probability report information of various plant disease and insect pest infection organs in the sub-plants to be detected based on the infection image data of the various plant disease and insect pest infection organs and the first composite plant disease and insect pest infection parameters.
The application relates to the technical field of agricultural informatization, in particular to a control and monitoring system and method for ornamental sunflower diseases and insect pests, which are used for collecting information of disease and insect pest infection organs in plants to be detected, recording synchronous disease and insect pest infection of various disease and insect pest infection organs in each sub plant to be detected and recording actual disease and insect pest infection of various disease and insect pest infection organs; respectively converting to obtain a first pest infection weight vector, and converting the actual pest infection record to obtain a second pest infection weight vector; calculating a first composite plant disease and insect pest infection vector of each type of plant disease and insect pest infection organ in the sub-plant to be detected in a preset period according to the information of each type of plant disease and insect pest infection organ in the sub-plant to be detected, and generating plant disease and insect pest infection probability report information of each type of plant disease and insect pest infection organ in the sub-plant to be detected. The application can effectively and accurately monitor the plant diseases and insect pests of ornamental sunflower, accurately monitor the concurrency of multiple organs and reasonably and moderately treat the plant diseases and insect pests.
Drawings
FIG. 1 is a workflow diagram of a method for controlling and monitoring pest and disease damage to ornamental sunflower according to an embodiment of the present application;
FIG. 2 is a second workflow diagram of a method for monitoring pest control of ornamental sunflower according to an embodiment of the present application;
FIG. 3 is a third workflow diagram of a method for monitoring pest control of ornamental sunflower according to an embodiment of the present application;
fig. 4 is a fourth working flow chart of a method for controlling and monitoring pest and disease damage of ornamental sunflower according to an embodiment of the present application;
FIG. 5 is a fifth workflow diagram of a method for monitoring pest control of ornamental sunflower according to an embodiment of the present application;
fig. 6 is a block diagram of a control and monitoring system for ornamental sunflower diseases and insect pests according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms "first," "second," "third," and the like in this disclosure are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "first," "second," and "third" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise. All directional indications (such as up, down, left, right, front, back … …) in the embodiments of the present application are merely used to explain the relative positional relationship, movement, etc. between the components in a particular gesture (as shown in the drawings), and if the particular gesture changes, the directional indication changes accordingly. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or plant that comprises a list of steps or elements is not limited to the list of steps or elements but may, alternatively, include other steps or elements not listed or inherent to such process, method, article, or plant.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
According to a first embodiment of the present invention, referring to fig. 1, the present invention claims a method for controlling and monitoring plant diseases and insect pests of ornamental sunflower, the method comprising:
Collecting the number value of pest infection organs, the metadata attribute value of the pest infection organs and the infection image data of different types of pest infection organs in plants to be detected;
Planning the plant to be detected into a plurality of sub-plants to be detected based on the number value of the pest infection organs, wherein each sub-plant to be detected comprises at least one type of pest infection organ;
collecting synchronous pest infection records of various pest infection organs in each sub-plant to be detected in a first period before a preset period and actual pest infection records of the various pest infection organs in each sub-plant to be detected in a second period in real time;
respectively converting the contemporaneous pest infection records of the pest infection organs of the various types into pest infection weights to obtain a first pest infection weight vector, and converting the actual pest infection records of the pest infection organs of the various types into pest infection weights to obtain a second pest infection weight vector;
Calculating a first composite plant disease and insect pest infection vector of each type of plant disease and insect pest infection organ in the sub-plant to be detected in the preset period according to the metadata attribute values of each type of plant disease and insect pest infection organs in the sub-plant to be detected, the first plant disease and insect pest infection weight vector and the second plant disease and insect pest infection weight vector;
And generating plant disease and pest infection probability report information of the plant disease and pest infection organs of various types in the sub-plants to be detected based on the infection image data of the plant disease and pest infection organs of various types and the first composite plant disease and pest infection parameters.
The first composite plant disease and insect pest infection vector comprises first composite plant disease and insect pest infection parameters of various plant disease and insect pest infection organs in the sub-plant to be detected, and the first composite plant disease and insect pest infection vector is used for representing resistance improvement efficiency difference of the various plant disease and insect pest infection organs in the sub-plant to be detected before and after the preset period;
In the embodiment, monitoring images of all organs in the plant to be detected are acquired through an image sensor placed beside the ornamental sunflower to be monitored, and the plant to be detected is an aggregated plant of a plurality of sub-plants.
The type of the plant diseases and insect pests infected organs at least comprises leaves, stems, roots, fruits and panoramic plants;
The pest infection record for each type of pest infected organ includes at least:
And (3) a blade: downy mildew pest, ash mildew pest, anthrax pest, bacterial angular leaf spot pest, powdery mildew pest, rust pest, early blight pest, late blight pest, leaf mold pest, spot pest, and black star pest;
stem part: bacterial wilt, rust, early epidemic, late epidemic;
Root: root knot insect pest;
Fruit: scab pest, black mould pest, fruit streak pest and cotton rot pest;
Panoramic plants: soft rot, ulcer, poison, paraquat, cataplexy, and bacterial wilt;
Since the attack period of each organ of the plant diseases and insect pests is periodically repeated, the synchronous plant diseases and insect pests infection record of the first period of each type of plant diseases and insect pests infected organ before the preset period in each sub-plant to be detected needs to be collected as a reference.
Further, referring to fig. 2, before the step of collecting the number value of pest infected organs, the metadata attribute value of pest infected organs, and the infection image data of different types of pest infected organs in the plant to be detected, the method further includes:
Inputting the number value of the plant disease and insect pest infected organ into a plant disease and insect pest infected organ database, wherein the number value comprises organ number values with different infection grades;
inputting the metadata attribute values of the pest infected organs into the pest infected organ database, wherein the metadata attribute values comprise type classification of the pest infected organs and susceptibility to pest of the pest infected organs;
inputting the infection image data of the pest infection organ into the pest infection organ database, wherein the infection image data comprises pest infection records of the pest infection organ in different artificial environments and natural environments;
The step of collecting the number value of the pest infected organs, the metadata attribute value of the pest infected organs and the infected image data of different types of pest infected organs in the plant to be detected comprises the following steps:
selecting the plant to be detected, and obtaining organ quantity values for limiting different infection levels of the plant to be detected;
Collecting the plant disease and insect pest infection organs of the plant to be detected, metadata attribute values of the plant disease and insect pest infection organs of the plant to be detected and infection image data of different types of plant disease and insect pest infection organs of the plant to be detected from the plant disease and insect pest infection organ database.
Wherein in this embodiment, the artificial environment comprises at least: insecticidal records (insecticide type, insecticidal time), watering records (water quantity, watering time);
the natural environment at least comprises: external temperature, external humidity, soil type;
The organs of the plants to be detected with different infection grades are classified according to the severity of the infected diseases and insect pests, for example, the specific grades of the fruit infected cotton rot are sequentially classified into mild, moderate and severe infection grades according to the water stain state near the wound, the cotton-like thick mycelium of the fruit and the fruit rot.
Further, the step of converting the contemporaneous pest infection record of each type of pest infection organ into pest infection weights to obtain a first pest infection weight vector, and converting the actual pest infection record of each type of pest infection organ into a pest infection weight to obtain a second pest infection weight vector, includes:
according to the prevention difficulty values of different types of plant diseases and insect pests and the cure rate of the plant diseases and insect pests in the synchronous plant disease and insect pest infection record of each type of plant disease and insect pest infection organ, calculating to obtain a first plant disease and insect pest infection weight of the plant disease and insect pest infection organ of the type, and forming a first plant disease and insect pest infection weight vector by the first plant disease and insect pest infection weights of the plant disease and insect pest infection organs of the different types;
According to the prevention difficulty values of different types of plant diseases and insect pests in the actual plant disease and insect pest infection record of each type of plant disease and insect pest infection organ and the cure rate of the type of plant disease and insect pest, calculating to obtain a second plant disease and insect pest infection weight of the type of plant disease and insect pest infection organ, and forming a second plant disease and insect pest infection weight vector by the second plant disease and insect pest infection weights of different types of plant disease and insect pest infection organs.
In this embodiment, the prevention difficulty value of different types of plant diseases and insect pests and the cure rate of the type of plant diseases and insect pests are obtained from the historically obtained record of plant disease and insect pest control of ornamental sunflower.
Further, referring to fig. 3, the step of calculating a first composite pest infection vector of each type of pest infection organ in the sub-plant to be detected in the preset period according to the metadata attribute value of each type of pest infection organ in the sub-plant to be detected, the first pest infection weight vector and the second pest infection weight vector includes:
Collecting a life cycle disease and pest conversion curve of each type of disease and pest infected organ based on the type classification of the disease and pest infected organ in the sub-plant to be detected, wherein the abscissa of the life cycle disease and pest conversion curve is the easily infected disease and pest of the disease and pest infected organ, and the ordinate of the life cycle disease and pest conversion curve is the resistance improvement rate of the disease and pest infected organ;
Calculating to obtain a first disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infection organs in the sub-plants to be detected in the first period, the first disease and pest infection weight vector and the duration of the first period;
Calculating to obtain a second disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infection organs in the sub-plant to be detected in the second period, the second disease and pest infection weight vector and the duration of the second period;
And calculating a first composite plant disease and insect pest infection vector of each type of plant disease and insect pest infection organ in the sub-plant to be detected in the preset period according to the first plant disease and insect pest symptom co-occurrence vector and the second plant disease and insect pest symptom co-occurrence vector.
The pest infection weight vector indicates the probability that symptom data of the pest appears in the specific type of pest infected organ;
In this embodiment, the second pest symptom co-occurrence vector is calculated according to the resistance improvement rate of each type of pest infected organ, the second pest infection weight vector, and the duration of the second period, and represents symptom data of different types of organs infected with multiple pests simultaneously.
Further, the step of calculating a first composite pest infection vector of each type of pest infection organ in the sub-plant to be detected in the preset period according to the metadata attribute value of each type of pest infection organ in the sub-plant to be detected, the first pest infection weight vector and the second pest infection weight vector is realized by the following formula:
;
;
;
Wherein, Is the first disease and pest symptom co-occurrence vector,/>For the first pest infection weight vector,/>For the first cycle of resistance improvement rate,/>For the duration of the first cycle,/>For the second disease and pest symptom co-occurrence vector,/>For the second pest infection weight vector,/>For the second cycle resistance improvement rate,/>For the duration of the second period of time,For the first complex pest infection vector,/>A first pest symptom co-occurrence vector representing an ith type of pest infected organ,/>A second pest symptom co-occurrence vector representing an ith type of pest infected organ,/>Representing a first pest infection weight of an ith type of pest infected organ,/>Representing a second pest infection weight of the ith type of pest infected organ,/>Representing the rate of resistance increase of the ith type of pest infected organ in the first cycle,/>A first complex pest infection parameter representing an ith type of pest infection organ, n being the number of pest infection organs in the sub-plant to be detected, i and n being positive integers and/>。
Further, referring to fig. 4, the step of generating the pest infection probability report information of each type of pest infection organ in the sub-plant to be detected based on the infection image data of each type of pest infection organ and the first composite pest infection parameter includes:
collecting the artificial environment and the natural environment of various types of pest infection organs in the sub-plants to be detected when the plant diseases and insect pests infection organs work in a first period, and the artificial environment and the natural environment of various types of pest infection organs in the sub-plants to be detected when the plant diseases and insect pests infection organs work in a second period;
Acquiring a first theoretical disease and pest infection record corresponding to each type of disease and pest infection organ based on the artificial environment and the natural environment of each type of disease and pest infection organ in the sub-plant to be detected when working in a first period, and acquiring a second theoretical disease and pest infection record corresponding to each type of disease and pest infection organ based on the artificial environment and the natural environment of each type of disease and pest infection organ in the sub-plant to be detected when working in a second period;
Calculating and obtaining second composite pest infection parameters of various pest infection organs in the sub-plants to be detected before and after the preset period based on the first theoretical pest infection record and the second theoretical pest infection record;
Comparing the second composite plant disease and insect pest infection parameters of various plant disease and insect pest infection organs in the sub-plants to be detected before and after the preset period with the first composite plant disease and insect pest infection parameters of various plant disease and insect pest infection organs in the sub-plants to be detected, and generating and sending report information of the exceeding of the plant disease and insect pest infection probability of the target plant disease and insect pest infection organs when the target plant disease and insect pest infection organs with the first composite plant disease and insect pest infection parameters larger than the second composite plant disease and insect pest infection parameters exist in the sub-plants to be detected.
Further, referring to fig. 5, the step of calculating, based on the first theoretical pest infection record and the second theoretical pest infection record, a second composite pest infection parameter of each type of pest infected organ in the sub-plant to be detected before and after the preset period includes:
Calculating a third disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infection organs in the sub-plant to be detected in the first period, the first theoretical disease and pest infection record and the duration of the first period;
calculating a fourth disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infected organs in the sub-plant to be detected in the second period, the second theoretical disease and pest infection record and the duration of the second period;
and calculating a second composite pest infection parameter of each type of pest infection organ in the sub-plant to be detected before and after the preset period according to the third pest symptom co-occurrence vector and the fourth pest symptom co-occurrence vector.
Further, before the step of generating and transmitting report information that the probability of pest infection of the target pest infection organ exceeds the standard when the target pest infection organ with the first composite pest infection parameter being greater than the second composite pest infection parameter exists in the sub-plant to be detected, the method further includes:
creating a plant distribution diagram of the distribution of each type of pest infection organ in different sub-plants to be detected of the plant to be detected;
When the target plant infection organ with the first composite plant infection parameter being larger than the second composite plant infection parameter exists in the sub-plant to be detected, sending report information that the plant infection probability of the target plant infection organ exceeds the standard,
And lighting the target plant disease and insect pest infection organ in the plant distribution schematic diagram, and sending the plant distribution schematic diagram after lighting the target plant disease and insect pest infection organ to a user side which is in communication connection with a server.
Further, the step of generating and transmitting the report information that the pest infection probability of the target pest infected organ exceeds the standard further includes:
inputting the type of the target pest infection organ, the difference value of the first composite pest infection parameter and the second composite pest infection parameter and the preset period into a pre-trained pest out-of-standard cause analysis model, wherein the pest out-of-standard cause analysis model is used for analyzing the target pest infection organ based on the type of the target pest infection organ, the second composite pest infection parameter and the preset period to obtain the cause of out-of-standard pest infection probability of the target pest infection organ, and the cause of out-of-standard pest infection probability of the target pest infection organ comprises aging or damage of component parts of the target pest infection organ;
generating the report information according to the number value of the target plant diseases and insect pests infected organs and the reason that the probability of plant diseases and insect pests infected by the target plant diseases and insect pests infected organs exceeds the standard, and transmitting the report information;
The step of lighting the target pest infection organ in the plant distribution diagram and sending the plant distribution diagram after lighting the target pest infection organ to a user terminal in communication connection with a server comprises the following steps:
And lighting the target plant disease and pest infection organs in the plant distribution diagram based on the number value of the target plant disease and pest infection organs, marking the reasons of the exceeding of the plant disease and pest infection probability of the target plant disease and pest infection organs in the plant distribution diagram, and then sending the plant distribution diagram to a user side in communication connection with a server.
According to a second embodiment of the present invention, referring to fig. 6, the present invention claims a control and monitoring system for ornamental sunflower diseases and insect pests, applied to a server, the system comprising:
The first acquisition module is used for acquiring the quantity value of the pest infection organs, the metadata attribute value of the pest infection organs and the infection image data of different types of pest infection organs in the plant to be detected;
a planning module, configured to plan the plant to be detected into a plurality of sub-plants to be detected based on the number value of the pest infection organs, where each sub-plant to be detected includes at least one type of pest infection organ;
The second acquisition module is used for acquiring synchronous pest infection records of various pest infection organs in each sub-plant to be detected in a first period before a preset period and actual pest infection records of various pest infection organs in each sub-plant to be detected in a second period in real time;
The conversion module is used for respectively converting the contemporaneous pest infection records of the various types of pest infection organs into pest infection weights to obtain a first pest infection weight vector, and converting the actual pest infection records of the various types of pest infection organs into the pest infection weights to obtain a second pest infection weight vector;
The calculating module is used for calculating a first composite plant disease and insect pest infection vector of each type of plant disease and insect pest infection organ in the sub-plant to be detected in the preset period according to the metadata attribute value of each type of plant disease and insect pest infection organ in the sub-plant to be detected, the first plant disease and insect pest infection weight vector and the second plant disease and insect pest infection weight vector, wherein the first composite plant disease and insect pest infection vector comprises a first composite plant disease and insect pest infection parameter of each type of plant disease and insect pest infection organ in the sub-plant to be detected, and the first composite plant disease and insect pest infection vector is used for representing the difference between the resistance improving efficiency of each type of plant disease and insect pest infection organ in the sub-plant to be detected before and after the preset period;
The generation module is used for generating plant disease and insect pest infection probability report information of various plant disease and insect pest infection organs in the sub-plants to be detected based on the infection image data of the various plant disease and insect pest infection organs and the first composite plant disease and insect pest infection parameters.
In the several embodiments provided in the present application, it should be understood that the disclosed system, system and method may be implemented in other manners. For example, the system embodiments described above are merely illustrative, e.g., a programming of elements, for only one logical function, and may be implemented in alternative ways, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, system or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. The foregoing is only the embodiments of the present application, and the patent scope of the application is not limited thereto, but is also covered by the patent protection scope of the application, as long as the equivalent structure or equivalent flow changes made by the description and the drawings of the application or the direct or indirect application in other related technical fields are adopted.
The embodiments of the application have been described in detail above, but they are merely examples, and the application is not limited to the above-described embodiments. It will be apparent to those skilled in the art that any equivalent modifications or substitutions to this application are within the scope of the application, and therefore, such equivalent changes and modifications, improvements, etc. should be made without departing from the spirit and scope of the principles of the application.
Claims (10)
1. The method for controlling and monitoring the diseases and insect pests of ornamental sunflower is characterized by comprising the following steps of:
Collecting the number value of pest infection organs, the metadata attribute value of the pest infection organs and the infection image data of different types of pest infection organs in plants to be detected;
Planning the plant to be detected into a plurality of sub-plants to be detected based on the number value of the pest infection organs, wherein each sub-plant to be detected comprises at least one type of pest infection organ;
collecting synchronous pest infection records of various pest infection organs in each sub-plant to be detected in a first period before a preset period and actual pest infection records of the various pest infection organs in each sub-plant to be detected in a second period in real time;
respectively converting the contemporaneous pest infection records of the pest infection organs of the various types into pest infection weights to obtain a first pest infection weight vector, and converting the actual pest infection records of the pest infection organs of the various types into pest infection weights to obtain a second pest infection weight vector;
Calculating a first composite plant disease and insect pest infection vector of each type of plant disease and insect pest infection organ in the sub-plant to be detected in the preset period according to the metadata attribute value of each type of plant disease and insect pest infection organ in the sub-plant to be detected, the first plant disease and insect pest infection weight vector and the second plant disease and insect pest infection weight vector, wherein the first composite plant disease and insect pest infection vector comprises a first composite plant disease and insect pest infection parameter of each type of plant disease and insect pest infection organ in the sub-plant to be detected, and the first composite plant disease and insect pest infection vector is used for representing the resistance improvement efficiency difference of each type of plant disease and insect pest infection organ in the sub-plant to be detected before and after the preset period;
And generating plant disease and pest infection probability report information of the plant disease and pest infection organs of various types in the sub-plants to be detected based on the infection image data of the plant disease and pest infection organs of various types and the first composite plant disease and pest infection parameters.
2. The method for pest control monitoring of ornamental sunflower plants according to claim 1, wherein before the step of collecting the number value of pest infected organs, the metadata attribute value of pest infected organs, and the infection image data of different types of pest infected organs in the plants to be detected, the method further comprises:
Inputting the number value of the plant disease and insect pest infected organ into a plant disease and insect pest infected organ database, wherein the number value comprises organ number values with different infection grades;
inputting the metadata attribute values of the pest infected organs into the pest infected organ database, wherein the metadata attribute values comprise type classification of the pest infected organs and susceptibility to pest of the pest infected organs;
inputting the infection image data of the pest infection organ into the pest infection organ database, wherein the infection image data comprises pest infection records of the pest infection organ in different artificial environments and natural environments;
The step of collecting the number value of the pest infected organs, the metadata attribute value of the pest infected organs and the infected image data of different types of pest infected organs in the plant to be detected comprises the following steps:
selecting the plant to be detected, and obtaining organ quantity values for limiting different infection levels of the plant to be detected;
Collecting the plant disease and insect pest infection organs of the plant to be detected, metadata attribute values of the plant disease and insect pest infection organs of the plant to be detected and infection image data of different types of plant disease and insect pest infection organs of the plant to be detected from the plant disease and insect pest infection organ database.
3. The method for monitoring and controlling diseases and insect pests of ornamental sunflower according to claim 1 or 2, wherein the steps of converting the contemporaneous pest infection record of each type of pest infected organ into pest infection weights to obtain a first pest infection weight vector, and converting the actual pest infection record of each type of pest infected organ into pest infection weights to obtain a second pest infection weight vector, respectively, comprise:
according to the prevention difficulty values of different types of plant diseases and insect pests and the cure rate of the plant diseases and insect pests in the synchronous plant disease and insect pest infection record of each type of plant disease and insect pest infection organ, calculating to obtain a first plant disease and insect pest infection weight of the plant disease and insect pest infection organ of the type, and forming a first plant disease and insect pest infection weight vector by the first plant disease and insect pest infection weights of the plant disease and insect pest infection organs of the different types;
According to the prevention difficulty values of different types of plant diseases and insect pests in the actual plant disease and insect pest infection record of each type of plant disease and insect pest infection organ and the cure rate of the type of plant disease and insect pest, calculating to obtain a second plant disease and insect pest infection weight of the type of plant disease and insect pest infection organ, and forming a second plant disease and insect pest infection weight vector by the second plant disease and insect pest infection weights of different types of plant disease and insect pest infection organs.
4. The method for monitoring and controlling diseases and insect pests of ornamental sunflower according to claim 3, wherein the step of calculating a first composite pest infection vector of each type of pest infection organ in the sub-plant to be detected in the preset period by using the metadata attribute values of each type of pest infection organ in the sub-plant to be detected, the first pest infection weight vector and the second pest infection weight vector comprises the following steps:
Collecting a life cycle disease and pest conversion curve of each type of disease and pest infected organ based on the type classification of the disease and pest infected organ in the sub-plant to be detected, wherein the abscissa of the life cycle disease and pest conversion curve is the easily infected disease and pest of the disease and pest infected organ, and the ordinate of the life cycle disease and pest conversion curve is the resistance improvement rate of the disease and pest infected organ;
Calculating to obtain a first disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infection organs in the sub-plants to be detected in the first period, the first disease and pest infection weight vector and the duration of the first period;
Calculating to obtain a second disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infection organs in the sub-plant to be detected in the second period, the second disease and pest infection weight vector and the duration of the second period;
And calculating a first composite plant disease and insect pest infection vector of each type of plant disease and insect pest infection organ in the sub-plant to be detected in the preset period according to the first plant disease and insect pest symptom co-occurrence vector and the second plant disease and insect pest symptom co-occurrence vector.
5. The method for monitoring and controlling diseases and insect pests of ornamental sunflower according to claim 4, wherein the step of calculating the first composite pest infection vector of each type of pest infection organ in the sub-plant to be detected in the preset period according to the metadata attribute values of each type of pest infection organ in the sub-plant to be detected, the first pest infection weight vector and the second pest infection weight vector is realized by the following formula:
;
;
;
Wherein, Is the first disease and pest symptom co-occurrence vector,/>For the first pest infection weight vector,/>For the first cycle of resistance improvement rate,/>For the duration of the first period of time,For the second disease and pest symptom co-occurrence vector,/>For the second pest infection weight vector,/>For the second cycle resistance improvement rate,/>For the duration of the second period of time,For the first complex pest infection vector,/>A first pest symptom co-occurrence vector representing an ith type of pest infected organ,/>A second pest symptom co-occurrence vector representing an ith type of pest infected organ,/>Representing a first pest infection weight of an ith type of pest infected organ,/>Representing a second pest infection weight of the ith type of pest infected organ,/>Representing the rate of resistance increase of the ith type of pest infected organ in the first cycle,/>A first complex pest infection parameter representing an ith type of pest infection organ, n being the number of pest infection organs in the sub-plant to be detected, i and n being positive integers and/>。
6. The method for monitoring and controlling diseases and insect pests of ornamental sunflower according to claim 4, wherein the step of generating the disease and insect pest infection probability report information of each type of disease and insect pest infection organ in the sub-plant to be detected based on the infection image data of each type of disease and insect pest infection organ and the first composite disease and insect pest infection parameter comprises the steps of:
collecting the artificial environment and the natural environment of various types of pest infection organs in the sub-plants to be detected when the plant diseases and insect pests infection organs work in a first period, and the artificial environment and the natural environment of various types of pest infection organs in the sub-plants to be detected when the plant diseases and insect pests infection organs work in a second period;
Acquiring a first theoretical disease and pest infection record corresponding to each type of disease and pest infection organ based on the artificial environment and the natural environment of each type of disease and pest infection organ in the sub-plant to be detected when working in a first period, and acquiring a second theoretical disease and pest infection record corresponding to each type of disease and pest infection organ based on the artificial environment and the natural environment of each type of disease and pest infection organ in the sub-plant to be detected when working in a second period;
Calculating and obtaining second composite pest infection parameters of various pest infection organs in the sub-plants to be detected before and after the preset period based on the first theoretical pest infection record and the second theoretical pest infection record;
Comparing the second composite plant disease and insect pest infection parameters of various plant disease and insect pest infection organs in the sub-plants to be detected before and after the preset period with the first composite plant disease and insect pest infection parameters of various plant disease and insect pest infection organs in the sub-plants to be detected, and generating and sending report information of the exceeding of the plant disease and insect pest infection probability of the target plant disease and insect pest infection organs when the target plant disease and insect pest infection organs with the first composite plant disease and insect pest infection parameters larger than the second composite plant disease and insect pest infection parameters exist in the sub-plants to be detected.
7. The method for monitoring and controlling ornamental sunflower plant diseases and insect pests according to claim 6, wherein the step of calculating the second composite plant disease and insect pest infection parameters of the various plant disease and insect pest infection organs in the sub-plants to be detected before and after the preset period based on the first theoretical plant disease and insect pest infection record and the second theoretical plant disease and insect pest infection record comprises the following steps:
Calculating a third disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infection organs in the sub-plant to be detected in the first period, the first theoretical disease and pest infection record and the duration of the first period;
calculating a fourth disease and pest symptom co-occurrence vector based on the resistance improvement rate of various disease and pest infected organs in the sub-plant to be detected in the second period, the second theoretical disease and pest infection record and the duration of the second period;
and calculating a second composite pest infection parameter of each type of pest infection organ in the sub-plant to be detected before and after the preset period according to the third pest symptom co-occurrence vector and the fourth pest symptom co-occurrence vector.
8. The method for monitoring and controlling ornamental sunflower plant diseases and insect pests according to claim 6, wherein when the target plant infection organ whose first composite plant infection parameter is larger than the second composite plant infection parameter exists in the sub-plant to be detected, generating and transmitting report information that the plant infection probability of the target plant infection organ exceeds the standard, the method further comprises:
creating a plant distribution diagram of the distribution of each type of pest infection organ in different sub-plants to be detected of the plant to be detected;
When the target plant infection organ with the first composite plant infection parameter being larger than the second composite plant infection parameter exists in the sub-plant to be detected, sending report information that the plant infection probability of the target plant infection organ exceeds the standard,
And lighting the target plant disease and insect pest infection organ in the plant distribution schematic diagram, and sending the plant distribution schematic diagram after lighting the target plant disease and insect pest infection organ to a user side which is in communication connection with a server.
9. The method for monitoring pest control of ornamental sunflower according to claim 8, wherein the step of generating and transmitting report information that the pest infection probability of the target pest infected organ exceeds a standard further comprises:
inputting the type of the target pest infection organ, the difference value of the first composite pest infection parameter and the second composite pest infection parameter and the preset period into a pre-trained pest out-of-standard cause analysis model, wherein the pest out-of-standard cause analysis model is used for analyzing the target pest infection organ based on the type of the target pest infection organ, the second composite pest infection parameter and the preset period to obtain the cause of out-of-standard pest infection probability of the target pest infection organ, and the cause of out-of-standard pest infection probability of the target pest infection organ comprises aging or damage of component parts of the target pest infection organ;
generating the report information according to the number value of the target plant diseases and insect pests infected organs and the reason that the probability of plant diseases and insect pests infected by the target plant diseases and insect pests infected organs exceeds the standard, and transmitting the report information;
The step of lighting the target pest infection organ in the plant distribution diagram and sending the plant distribution diagram after lighting the target pest infection organ to a user terminal in communication connection with a server comprises the following steps:
And lighting the target plant disease and pest infection organs in the plant distribution diagram based on the number value of the target plant disease and pest infection organs, marking the reasons of the exceeding of the plant disease and pest infection probability of the target plant disease and pest infection organs in the plant distribution diagram, and then sending the plant distribution diagram to a user side in communication connection with a server.
10. A control and monitoring system for ornamental sunflower diseases and insect pests, characterized in that it is applied to a server, the system comprising:
The first acquisition module is used for acquiring the quantity value of the pest infection organs, the metadata attribute value of the pest infection organs and the infection image data of different types of pest infection organs in the plant to be detected;
a planning module, configured to plan the plant to be detected into a plurality of sub-plants to be detected based on the number value of the pest infection organs, where each sub-plant to be detected includes at least one type of pest infection organ;
The second acquisition module is used for acquiring synchronous pest infection records of various pest infection organs in each sub-plant to be detected in a first period before a preset period and actual pest infection records of various pest infection organs in each sub-plant to be detected in a second period in real time;
The conversion module is used for respectively converting the contemporaneous pest infection records of the various types of pest infection organs into pest infection weights to obtain a first pest infection weight vector, and converting the actual pest infection records of the various types of pest infection organs into the pest infection weights to obtain a second pest infection weight vector;
The calculating module is used for calculating a first composite plant disease and insect pest infection vector of each type of plant disease and insect pest infection organ in the sub-plant to be detected in the preset period according to the metadata attribute value of each type of plant disease and insect pest infection organ in the sub-plant to be detected, the first plant disease and insect pest infection weight vector and the second plant disease and insect pest infection weight vector, wherein the first composite plant disease and insect pest infection vector comprises a first composite plant disease and insect pest infection parameter of each type of plant disease and insect pest infection organ in the sub-plant to be detected, and the first composite plant disease and insect pest infection vector is used for representing the difference between the resistance improving efficiency of each type of plant disease and insect pest infection organ in the sub-plant to be detected before and after the preset period;
The generation module is used for generating plant disease and insect pest infection probability report information of various plant disease and insect pest infection organs in the sub-plants to be detected based on the infection image data of the various plant disease and insect pest infection organs and the first composite plant disease and insect pest infection parameters.
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