CN115004994B - Fruit tree plant diseases and insect pests prevention and control system based on digital map - Google Patents
Fruit tree plant diseases and insect pests prevention and control system based on digital map Download PDFInfo
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- 235000013399 edible fruits Nutrition 0.000 title claims abstract description 298
- 201000010099 disease Diseases 0.000 title claims abstract description 182
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims abstract description 182
- 241000607479 Yersinia pestis Species 0.000 title claims abstract description 144
- 241000238631 Hexapoda Species 0.000 title claims description 81
- 230000002265 prevention Effects 0.000 title claims description 46
- 239000002420 orchard Substances 0.000 claims abstract description 69
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- A—HUMAN NECESSITIES
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- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
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Abstract
The invention relates to the technical field of agricultural planting, in particular to a fruit tree disease and pest control system based on a digital map. The system comprises a map module, a file establishing module and a management platform, wherein the map module is used for establishing a three-dimensional GIS visual orchard digital map according to orchard information; the file establishing module is used for acquiring the data of the map module and carrying out unique identity identification codes on each fruit tree according to the coordinate information, the file establishing module is used for recording the information of each fruit tree, and the information of the fruit tree corresponds to the identity identification codes; the management platform comprises a database, an information acquisition module, a planting assisting module and a disease analysis module, and is used for planting management and pest control management. The fruit tree disease and pest control system based on the digital map can improve the management efficiency of an orchard and effectively treat the disease and pest of the fruit tree.
Description
Technical Field
The invention relates to the technical field of agricultural planting, in particular to a fruit tree disease and pest control system based on a digital map.
Background
In many areas of China, the fruit tree industry becomes a local post industry, and makes great contribution to local agricultural synergy, peasant income increase, and even accurate poverty-strengthening and poverty-relieving and enrichment-promoting. Although the fruit in China has large planting area and yield and multiple varieties, the management difficulty is high due to the large area of the orchard, so that most orchard management is widely put down, the quality and the selling price of the fruit are seriously influenced, and the benign development of agricultural products in China is seriously influenced.
In addition, the traditional orchard pest and disease damage monitoring often needs plant protection personnel to go to the site for checking, and the pest and disease damage condition is judged according to the growth condition of the fruit trees. Although the traditional orchard disease and pest monitoring can detect the disease and pest existing in the fruit trees, the real-time and omnibearing monitoring of the disease and pest of the fruit trees is not possible. And then some fruit trees are possibly not found at the initial stage of plant diseases and insect pests, so that the optimal control period is missed.
Disclosure of Invention
In order to solve the problems, the invention provides a fruit tree disease and pest control system based on a digital map, which can improve the management efficiency of an orchard and effectively treat the disease and pest of the fruit tree.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a fruit tree disease and pest control system based on a digital map, which comprises a map module, a file establishment module and a management platform,
the map module is used for establishing a three-dimensional GIS visual orchard digital map according to the information of an orchard, and the information of the orchard comprises the geographic position of the orchard, the surrounding environment of the orchard, the planting topography of the orchard and the planting position of fruit trees;
the file establishing module is used for acquiring the data of the map module and carrying out unique identity identification codes on each fruit tree according to the coordinate information, the file establishing module is used for recording the information of each fruit tree, and the information of the fruit tree corresponds to the identity identification codes;
the management platform comprises a database, an information acquisition module, a planting assistance module and a disease analysis module,
the database is used for storing fruit tree planting data, fruit tree growth data and fruit tree disease prevention and control data;
the information acquisition module is used for acquiring image information of each fruit tree through an unmanned aerial vehicle, an unmanned aerial vehicle and a manual inspection period, the unmanned aerial vehicle acquires the fruit tree image through aerial photography, the unmanned aerial vehicle acquires the fruit tree image through remote control shooting, and the information acquisition module acquires the growth state of the fruit tree through a machine learning algorithm;
the planting assisting module is used for analyzing and comparing the data of the information acquisition module with the data of the database to obtain different fertilizing amounts and different fertilizer types of different fruit trees in different growth periods;
the disease analysis module is used for analyzing and comparing the data of the information acquisition module with the data of the database to judge whether the fruit tree has diseases and insect pests or not, and the disease analysis module obtains a corresponding disease and insect pest treatment method according to the database.
Further, the unmanned aerial vehicle and the unmanned aerial vehicle can record geographic coordinates so that the shot fruit tree images have geographic coordinate information, and the information acquisition module divides the fruit tree images into a plurality of sub-images with independent fruit trees according to the file establishment module, the fruit tree images and corresponding position information and image recognition so that the information acquisition module can acquire data of the ages of the fruit trees, the growth heights of the fruit trees, the plant diameters of the fruit trees, the growth conditions of the leaves of the fruit trees and the growth conditions of the fruits of the fruit trees.
Further, the data of the information acquisition module can be sent to the map module, so that the information corresponding to the fruit tree can be acquired by clicking the map module.
Further, the map module can also record soil fertility data of different positions of the orchard, and the planting assisting module obtains influence values of fruit tree growth in different areas according to the soil fertility data and illumination data through the data of the map module and the archive building module; and the planting assisting module obtains the growth state values of different areas according to the influence value and the data of the information acquisition module so as to judge whether the fruit trees grow normally.
Further, the planting assisting module sets fertilization parameters for fruit trees in different areas according to the growth state values, so that the fruit trees in different areas have corresponding fertilization amounts; and the planting assisting module performs RTK positioning fertilization according to the fertilization parameters and through an unmanned fertilization vehicle.
Further, the management platform also comprises a disease and pest prevention module, the disease and pest prevention module comprises an environment quantity acquisition module, a disease and pest prejudgement sub-module and a plant protection record sub-module,
the environment quantity acquisition module is used for acquiring data of soil humidity and temperature of the orchard, wind power of the orchard and weather of the orchard;
the plant disease and insect pest pre-judging submodule is used for acquiring data of the geographical position of the orchard, the surrounding environment of the orchard, the planting topography of the orchard and the planting position of the fruit tree through the map module, acquiring data of the age of the fruit tree, the growth height of the fruit tree, the plant diameter of the fruit tree, the growth condition of the fruit leaves of the fruit tree and the growth condition of the fruit tree through the information acquisition module, and analyzing and comparing the data of the environment quantity acquisition module, the data of the map module and the data of the information acquisition module with the data of the database through the information acquisition module so as to pre-judge the possible occurrence of the plant disease and insect pest type;
the plant protection recording submodule is used for recording the plant diseases and insect pests prevention and control types and the plant diseases and insect pests prevention and control results.
Further, the plant disease and insect pest prejudging submodule can also obtain the data of the plant protection record submodule, and the plant disease and insect pest prejudging submodule judges the probability of each plant disease and insect pest type possibly occurring according to the historical data of the plant disease and insect pest prevention and control type, the technology of the environment quantity obtaining module, the data of the map module and the data of the information obtaining module.
Further, the disease analysis module comprises a disease analysis module, the disease analysis module identifies and judges the type of the plant diseases and insect pests of the fruit tree through AI, and the disease analysis module obtains the coordinate position of the plant diseases and insect pests of the fruit tree according to the data of the map module, so that the disease image judgment submodule judges the cause of the plant diseases and insect pests of the fruit tree and the prevention and control measures of the corresponding plant diseases and insect pests according to the type of the plant diseases and insect pests of the fruit tree, the coordinate position of the plant diseases and insect pests of the fruit tree and the environmental data of the orchard, and judges the cause of the plant diseases and insect pests of the fruit tree according to the database.
Further, the disease analysis module can also construct a thermodynamic diagram of the pest and disease fruit tree according to the coordinate position data of the pest and disease fruit tree, and the disease analysis module obtains the propagation rate of the pest and disease according to the color change data of the thermodynamic diagram; the disease analysis module obtains the growth rate of the plant diseases and insect pests according to the growth curve graph; the disease analysis module obtains a prevention and control effective value according to the propagation rate and the growth rate, and when the prevention and control effective value is greater than or equal to an alarm threshold value, the disease analysis module sends an alarm signal to prompt adjustment of prevention and control measures; and when the prevention and control effective value is smaller than the alarm threshold value, the disease analysis module does not execute alarm action.
The fruit selling system comprises a fruit selling platform, a fruit selling module and a fruit selling module, wherein the fruit selling module comprises a fruit selling module, a fruit selling module and a fruit selling module; the price adjustment submodule is used for acquiring data of the information acquisition module, the planting assistance module and the planting assistance module, and respectively setting corresponding adjustment coefficients according to the shape of fruits, the states of the fruits, the times of diseases and insect pests of the fruits and the types of diseases and insect pests of the fruits, and the price adjustment submodule obtains final selling price according to the basic price and the adjustment coefficients;
the tracing module is used for attaching FRID labels to the fruits of each fruit tree, and records planting information, picking information and sales information of the fruits in the corresponding fruit tree through the FRID labels;
the display module is used for acquiring data of the map module, the archive building module and the information acquisition module so that the display module displays the fruit growth process pictures.
The beneficial effects of the invention are as follows:
1. through combining map module and archives establishment module, can carry out the identification code with the fruit tree and build file according to geographical position for each fruit tree can all carry out independent management, realizes directly perceivedly image show through the orchard digital map moreover, forms audio-visual work platform, has solved the orchard management and has roughly fallen behind, has seriously influenced the drawback of the quality and the selling price of fruit. Under the action of the information acquisition module, the unmanned aerial vehicle and the unmanned vehicle can be utilized to acquire the picture information of the fruit tree so as to facilitate the subsequent fruit tree management; meanwhile, the planting assisting module and the disease analyzing module monitor the growth state of the fruit tree in real time by utilizing the data of the database and the information acquisition module, ensure that the fruit tree can grow normally and timely when the fruit tree is in the initial stage of plant diseases and insect pests, and treat the fruit tree in the optimal control period.
2. Because the unmanned aerial vehicle and the fruit tree images shot by the unmanned aerial vehicle have geographic coordinate information, the information acquisition module is used for dividing according to the coordinate information of the images and the content of the images, each divided sub-image can correspond to an actual fruit tree, and therefore the information acquisition module can be used for recombining the sub-images to obtain complete fruit tree images so as to conveniently obtain the data of the growth height of the fruit tree, the plant diameter of the fruit tree, the growth condition of the fruit leaves of the fruit tree and the fruit growth of the fruit tree through recognition and analysis.
3. Because the area of the orchard is large, the illumination time, illumination intensity and soil fertility of different positions in the orchard are different, and therefore, under the influence of objective factors, the shapes of fruit trees at different positions in the orchard are different even if the fruit trees grow normally; if the fertilizing amount and the fertilizing force are increased for the fruit trees affected by objective factors, unbalance of nutrient elements of the tree bodies, poisoning of the fruit trees and influence on the quality of the fruits can be possibly caused, so that the invention avoids errors caused by the planting assisting module through the shapes of the fruit trees by setting the influence values, thereby applying excessive fertilizers to the fruit trees affected by the objective factors and ensuring that all the fruit trees can be moderately fertilized. And RTK positioning fertilization is carried out through unmanned fertilization car, can effectively reduce staff's work load, improves the management efficiency in orchard.
Drawings
Fig. 1 is a block diagram of a digital map-based fruit tree pest control system according to a preferred embodiment of the present invention.
In the figure, the system comprises a 1-map module, a 2-archive building module, a 3-management platform, a 31-database, a 32-information acquisition module, a 33-planting assistance module, a 34-disease analysis module, a 4-sales platform, a 41-pricing module, a 411-basic price setting sub-module, a 412-price adjustment sub-module, a 42-traceability module, a 43-display module, a 35-plant disease and insect pest prevention module, a 351-environment quantity acquisition module, a 352-plant disease and insect pest pre-judgment sub-module and a 353-plant protection recording sub-module.
Detailed Description
Referring to fig. 1, the digital map-based fruit tree pest control system according to a preferred embodiment of the present invention includes a map module 1, a file creation module 2, a management platform 3, and a sales platform 4.
The map module 1 is used for establishing a three-dimensional GIS visual orchard digital map according to the information of the orchard, and the information of the orchard of the map module 1 comprises the geographic position of the orchard, the surrounding environment of the orchard, the planting topography of the orchard and the planting position of the fruit tree.
The file establishment module 2 is used for acquiring the data of the map module 1 and carrying out unique identity identification codes on each fruit tree according to the coordinate information, the file establishment module 2 is used for recording the information of each fruit tree, and the information of the fruit tree corresponds to the identity identification codes.
The management platform 3 comprises a database 31, an information acquisition module 32, a planting assistance module 33 and a disease analysis module 34,
the database 31 is used for storing fruit tree planting data, fruit tree growth data and fruit tree disease prevention and control data.
The information acquisition module 32 is used for acquiring image information of each fruit tree through unmanned aerial vehicle, unmanned aerial vehicle and manual inspection period, the unmanned aerial vehicle acquires fruit tree images through aerial photography, the unmanned aerial vehicle acquires fruit tree images through remote control shooting, and the information acquisition module 32 acquires the growth state of the fruit tree through a machine learning algorithm.
The planting assisting module 33 is used for analyzing and comparing the data of the information obtaining module 32 with the data of the database 31 to obtain different fertilizing amounts and different fertilizer types of different fruit trees in different growth periods.
The disease analysis module 34 is used for comparing the data of the information acquisition module 32 with the data of the database 31 to determine whether the fruit tree has disease and pest, and the disease analysis module 34 obtains a corresponding disease and pest processing method according to the database 31.
Through combining map module 1 with archives establishment module 2, can carry out the identification code with the fruit tree and build file according to geographical position for each fruit tree can all carry out independent management, realizes directly perceivedly through the orchard digital map and shows moreover that the image forms audio-visual work platform, has solved the orchard management and has roughly fallen behind, has seriously influenced the drawback of the quality and the sales price of fruit. Under the action of the information acquisition module, the unmanned aerial vehicle and the unmanned vehicle can be utilized to acquire the picture information of the fruit tree so as to facilitate the subsequent fruit tree management; meanwhile, the planting assisting module 33 and the disease analyzing module 34 monitor the growth state of the fruit tree in real time by utilizing the data of the database 31 and the information acquisition module 32, ensure that the fruit tree can grow normally, and can timely treat the fruit tree in the optimal control period when the fruit tree is in the initial stage of plant diseases and insect pests.
In this embodiment, the unmanned aerial vehicle and the unmanned aerial vehicle can record geographic coordinates so that the photographed fruit tree image has geographic coordinate information, and the information acquisition module 32 divides the fruit tree image into a plurality of sub-images with individual fruit trees according to the file creation module 2, the fruit tree image and the corresponding position information and according to image recognition, so that the information acquisition module 32 can obtain data of the age of the fruit tree, the growth height of the fruit tree, the plant diameter of the fruit tree, the growth condition of the fruit leaf of the fruit tree and the growth condition of the fruit tree. .
Because the unmanned aerial vehicle and the fruit tree images shot by the unmanned aerial vehicle have geographic coordinate information, the information acquisition module 32 is divided according to the coordinate information of the images and the content of the images, each divided sub-image can correspond to an actual fruit tree, and therefore the information acquisition module 32 can recombine the sub-images to obtain complete fruit tree images, so that the data of the growth height of the fruit tree, the plant diameter of the fruit tree, the growth condition of the fruit leaves of the fruit tree and the fruit growth of the fruit tree can be obtained through identification and analysis.
The data of the information acquisition module 32 can be sent to the map module 1 to acquire information of the corresponding fruit tree by clicking the map module 1. The situation of the orchard can be mastered through the map module 1, and management efficiency of the orchard is improved. Preferably, cameras can be uniformly distributed in an orchard, different cameras are responsible for monitoring different areas, and the identity identification codes and the position information of the fruit trees can be converted into control signals, and the corresponding fruit trees can be moved and irradiated by clicking the fruit trees on the map module 1, so that management staff can master implementation images of the fruit trees.
In this embodiment, the map module 1 can also record soil fertility data of different positions of the orchard, and the planting assisting module 33 obtains the influence values of the growth of the fruit trees in different areas according to the soil fertility data and the illumination data by using the data of the map module 1 and the archive building module 2; the planting assisting module 33 obtains the growth state values of different areas according to the influence values and the data of the information obtaining module 32 so as to judge whether the fruit trees grow normally.
Because the area of the orchard is large, the illumination time, illumination intensity and soil fertility of different positions in the orchard are different, and therefore, under the influence of objective factors, the shapes of fruit trees at different positions in the orchard are different even if the fruit trees grow normally; if the fertilizing amount and the fertilizing force are increased for the fruit trees affected by the objective factors, unbalance of nutrient elements of the tree bodies, poisoning of the fruit trees and influence on the quality of the fruits can be possibly caused, so that the invention avoids errors caused by the planting assisting module 33 through the shapes of the fruit trees by setting the influence values, thereby applying excessive fertilizers to the fruit trees affected by the objective factors and ensuring that all the fruit trees can be moderately fertilized.
The planting assisting module 33 sets fertilization parameters for the fruit trees in different areas according to the growth state values so that the fruit trees in different areas have corresponding fertilization amounts; the planting assistance module 33 performs RTK positioning fertilization according to the fertilization parameters and by the unmanned fertilization vehicle. RTK positioning fertilization is carried out by using the unmanned fertilization vehicle, so that the workload of workers can be effectively reduced, and the management efficiency of an orchard is improved.
In this embodiment, the management platform 3 further includes a pest prevention module 35, where the pest prevention module 35 includes an environmental quantity acquisition module 351, a pest pre-determination sub-module 352, and a plant protection record sub-module 353.
The environment quantity acquisition module 351 is used for acquiring data of soil humidity temperature of an orchard, wind power of the orchard and weather of the orchard.
The plant disease and insect pest pre-judging sub-module 352 is used for acquiring data of the geographic position of the orchard, the surrounding environment of the orchard, the planting topography of the orchard and the planting position of the fruit tree through the map module 1, the plant disease and insect pest pre-judging sub-module 352 acquires data of the age of the fruit tree, the growth height of the fruit tree, the plant diameter of the fruit tree, the growth condition of the leaves of the fruit tree and the growth condition of the fruit tree through the information acquisition module 32, and the plant disease and insect pest pre-judging sub-module 352 analyzes and compares the data of the environment quantity acquisition module 351, the data of the map module 1, the data of the information acquisition module 32 and the data of the database 31 to pre-judge the possible plant disease and insect pest types;
the plant protection record submodule 353 is used for recording the plant diseases and insect pests prevention and control type and the plant diseases and insect pests prevention and control result.
The occurrence types of the plant diseases and insect pests can be different according to the conditions of the terrains of the orchards, the gradients of the orchards, the surrounding environment of the orchards, the growth period of the fruit trees, the age of the fruit trees and the like, for example, the humidity of a land-level water accumulation area is high, the occurrence probability of snails and diseases is high, the occurrence probability of snails on the slopes is low, but if wind ulcers on the slopes are large, the occurrence rate of snails is high; the weeds are more dense and are easy to have diseases and insects, and the surrounding environmental disease and insect trees are more, so that the normal trees are also easy to generate diseases and insects. The plant diseases and insect pests prejudging submodule 352 of the embodiment analyzes and compares parameters of the environment quantity acquisition module 351, the map module 1 and the information acquisition module 32 with the database 31 to judge possible disease types of the fruit trees in advance, thereby realizing early prevention and ensuring healthy growth of the fruit trees.
In this embodiment, the plant disease and pest prejudging sub-module 352 can also obtain the data of the plant protection record sub-module 353, and the plant disease and pest prejudging sub-module 352 judges the probability of each possible plant disease and pest type according to the history data of the plant disease and pest control type, the technology of the environment amount obtaining module 351, the data of the map module 1 and the data of the information obtaining module 32.
The pest prejudging submodule 352 prejudges the next pest situation according to the historical pest control category, and the probability of occurrence of the next thrips can be low as the plant protection and control thrips are performed for the last times. Therefore, the plant disease and pest prejudging sub-module 352 combines the data of the plant protection record sub-module 353 to further accurately predict the occurrence probability of the plant disease and pest type, thereby performing targeted prevention.
If the plant disease and insect pest prejudging submodule 352 obtains the latest weather conditions of heavy overcast and rainy weather, high humidity and high temperature, the fruit tree is in a flat land in 7 months, the surrounding environment has more weeds, the 4-level wind power is used for controlling thrips, the plant protection record is used for controlling the thrips, and meanwhile, the plant disease and insect pest prejudging submodule 352 predicts 82 percent of snail diseases, 21 percent of leaf miners and 12 percent of scale insects by combining the data of the database 31.
In this embodiment, the disease analysis module 34 identifies and determines the type of the plant diseases and insect pests of the fruit tree through AI, and the disease analysis module 34 obtains the coordinate position of the plant diseases and insect pests of the fruit tree according to the data of the map module 1, so that the disease analysis module 34 determines the cause of the plant diseases and insect pests of the fruit tree and the prevention and control measures of the corresponding plant diseases and insect pests according to the type of the plant diseases and insect pests of the fruit tree, the coordinate position of the plant diseases and insect pests of the fruit tree and the environmental data of the orchard according to the database 31. The disease analysis module 34 combines the type of the fruit tree diseases and insect pests, the coordinate position of the fruit tree with the environmental data of the fruit garden with the topography factors, thereby accurately judging the reasons of the fruit tree diseases and insect pests and improving the effect of the disease and insect pest prevention and control measures.
The disease analysis module 34 can also construct a thermodynamic diagram of the pest and disease fruit tree according to the coordinate position data of the pest and disease fruit tree, and the disease analysis module 34 obtains the propagation rate of the pest and disease according to the color change data of the thermodynamic diagram; obtaining a growth curve graph of the pest and disease trees according to the number of the pest and disease trees, and obtaining a growth rate of the pest and disease according to the growth curve graph by the disease analysis module 34; the disease analysis module 34 obtains a prevention and control effective value according to the propagation rate and the growth rate, and when the prevention and control effective value is greater than or equal to an alarm threshold value, the disease analysis module 34 sends an alarm signal to prompt adjustment of prevention and control measures; when the prevention and control effective value is less than the alarm threshold, the disease analysis module 34 does not perform an alarm action.
The disease analysis module 34 of the embodiment comprehensively judges the prevention and control effect through the propagation rate and the growth rate of the plant diseases and insect pests, and when the prevention and control effective value is greater than or equal to the alarm threshold value, the prevention and control measures are proved to have no obvious effect, and the aggravation of the plant diseases and insect pests is avoided through timely adjustment of the prevention and control measures; when the effective prevention and control value is smaller than the alarm threshold value, the prevention and control measures are proved to be capable of effectively inhibiting the plant diseases and insect pests.
The sales platform comprises a pricing module 41, a traceability module 42, a presentation module 43.
The pricing module 41 is used for setting the selling price of the fruit, the pricing module 41 comprises a basic price setting sub-module 411 and a price adjusting sub-module 412, the basic price setting sub-module 411 is used for acquiring market information, and the basic price setting sub-module 411 takes the average price of the corresponding fruit as the basic price; the price adjustment sub-module 412 is used for acquiring the data of the information acquisition module 32, the planting assistance module 33 and the planting assistance module 33, and the price adjustment sub-module 412 sets corresponding adjustment coefficients according to the form of the fruit, the state of the fruit tree, the number of pest and disease damage times of the fruit tree and the type of pest and disease damage of the fruit tree, and the price adjustment sub-module 412 obtains the final selling price according to the basic price and the adjustment coefficients.
In this embodiment, different adjustment coefficients are set according to different grades for the fruit shape, the fruit tree state, the fruit tree pest and disease number and the fruit tree pest type, and the sales price can be reasonably set through the adjustment coefficients, so that the sales rate is improved, and fruit accumulation is avoided.
The tracing module 42 is used for attaching an FRID label to the fruit of each fruit tree, and the tracing module 42 records planting information, picking information and sales information of the fruit in the corresponding fruit tree through the FRID label. The data chain from production to sales is opened through the electronic information of the fruit tree archives and the land parcels and the access network. By means of FRID technology, accurate tracking of fruit track from harvesting to sales is achieved. And the visual real-time monitoring of the production and marketing conditions is realized by combining the accurate estimated production of a single fruit tree and the timely acquisition of the plot picking data.
The display module 43 is used for data acquisition of the map module 1, the archive creation module 2 and the information acquisition module 32, so that the display module 43 displays the fruit growth process picture. Under the action of the display module 43, the customer can understand the planting process, so that the safety anxiety of the customer can be reduced, the growth state of the fruit can be displayed, and the purchasing desire can be improved.
The fruit tree pest control based on the digital map comprises the following steps:
s1, establishing a three-dimensional GIS visual orchard digital map according to orchard information, and carrying out unique identity identification codes on each fruit tree according to coordinate information so that the information of the fruit tree corresponds to the identity identification codes.
S2, establishing a database 31 according to the fruit tree planting data, the fruit tree growth data and the fruit tree disease prevention and control data.
S4, periodically acquiring image information of each fruit tree through the unmanned aerial vehicle and the unmanned aerial vehicle, wherein the unmanned aerial vehicle and the unmanned aerial vehicle can record geographic coordinates so that the shot fruit tree images have geographic coordinate information; dividing the fruit tree image into a plurality of sub-images with independent fruit trees to obtain data of the growth height of the fruit trees, the plant diameter of the fruit trees, the growth condition of the fruit leaves of the fruit trees and the growth condition of the fruit trees.
S5, analyzing and comparing the sub-images of the fruit trees with the data of the database 31 to obtain the fertilizing amount and the fertilizing type corresponding to the fruit trees, obtaining the influence value of the growth of the fruit trees according to the soil fertility data and the illumination data, and adjusting the fertilizing amount according to the influence value.
S6, the plant disease and insect pest pre-judging sub-module 352 judges the probability of each possible plant disease and insect pest type according to the historical data of the plant disease and insect pest prevention and control type, the technology of the environment quantity acquisition module 351, the data of the map module 1 and the data of the information acquisition module 32.
S7, analyzing and comparing the sub-images of the fruit trees with the data of the database 31 to judge whether the fruit trees have diseases and insect pests or not, and obtaining a corresponding disease and insect pest treatment method according to the database 31; the type of the plant diseases and insect pests of the fruit trees is judged through AI identification, so that the reasons of the plant diseases and insect pests of the fruit trees and the prevention and control measures of the corresponding plant diseases and insect pests are judged according to the type of the plant diseases and insect pests of the fruit trees, the coordinate positions of the plant diseases and insect pests of the fruit trees and the environment data database 31 of the orchard.
S8, constructing a thermodynamic diagram of the pest and disease fruit tree according to the coordinate position data of the pest and disease fruit tree, and obtaining the propagation rate of the pest and disease through the color change data of the thermodynamic diagram; obtaining a growth curve graph of the pest and disease fruit trees according to the number of the pest and disease fruit trees, and obtaining the growth rate of the pest and disease through the growth curve graph; and obtaining a prevention and control effective value by combining the propagation rate and the growth rate, and judging whether the prevention and control measures have effects or not according to the prevention and control effective value.
Claims (5)
1. A fruit tree disease and pest control system based on a digital map is characterized by comprising a map module (1), a file establishment module (2) and a management platform (3),
the map module (1) is used for establishing a three-dimensional GIS visual orchard digital map according to information of an orchard, and the information of the map module (1) comprises a geographic position of the orchard, a surrounding environment of the orchard, planting topography of the orchard and planting positions of fruit trees;
the file establishing module (2) is used for acquiring the data of the map module (1) and carrying out unique identification codes on each fruit tree according to the coordinate information, the file establishing module (2) is used for recording the information of each fruit tree, and the information of the fruit tree corresponds to the identification codes;
the management platform (3) comprises a database (31), an information acquisition module (32), a planting assisting module (33) and a disease analysis module (34),
the database (31) is used for storing fruit tree planting data, fruit tree growth data and fruit tree disease prevention and control data;
the information acquisition module (32) is used for acquiring image information of each fruit tree through an unmanned aerial vehicle, an unmanned vehicle and a manual inspection period, the unmanned aerial vehicle acquires the fruit tree image through aerial photography, the unmanned vehicle acquires the fruit tree image through remote control shooting, and the information acquisition module (32) acquires the growth state of the fruit tree through a machine learning algorithm;
the unmanned aerial vehicle and the unmanned aerial vehicle can record geographic coordinates so that the shot fruit tree images have geographic coordinate information, the information acquisition module (32) divides the fruit tree images into a plurality of sub-images with independent fruit trees according to the file establishment module (2), the fruit tree images and corresponding position information and image identification, and the information acquisition module (32) can acquire data of the ages of the fruit trees, the growth heights of the fruit trees, the plant diameters of the fruit trees, the growth conditions of the leaves of the fruit trees and the fruit growth conditions of the fruit trees;
the planting assisting module (33) is used for analyzing and comparing the data of the information acquisition module (32) with the data of the database (31) so as to obtain different fertilizing amounts and different fertilizer types of different fruit trees in different growth periods;
the disease analysis module (34) is used for analyzing and comparing the data of the information acquisition module (32) with the data of the database (31) to judge whether the fruit tree has diseases and insect pests, and the disease analysis module (34) obtains a corresponding disease and insect pest treatment method according to the database (31);
the management platform (3) also comprises a disease and pest prevention module (35), the disease and pest prevention module (35) comprises an environment quantity acquisition module (351), a disease and pest prejudgement sub-module (352) and a plant protection record sub-module (353),
the environment quantity acquisition module (351) is used for acquiring data of soil humidity temperature of the orchard, wind power of the orchard and weather of the orchard;
the plant disease and insect pest pre-judging sub-module (352) is used for acquiring data of the geographic position of the orchard, the surrounding environment of the orchard, the planting topography of the orchard and the planting position of the fruit tree through the map module (1), the plant disease and insect pest pre-judging sub-module (352) acquires data of the age of the fruit tree, the growth height of the fruit tree, the plant diameter of the fruit tree, the growth condition of the fruit leaf of the fruit tree and the growth condition of the fruit tree through the information acquisition module (32), and the plant disease and insect pest pre-judging sub-module (352) analyzes and compares the data of the environment quantity acquisition module (351), the data of the map module (1), the data of the information acquisition module (32) and the data of the database (31) to pre-judge possible plant disease and insect pest types;
the plant protection record submodule (353) is used for recording the plant diseases and insect pests prevention and control types and the plant diseases and insect pests prevention and control results;
the disease analysis module (34) comprises a disease analysis module (34), the disease analysis module (34) identifies and judges the type of the plant diseases and insect pests of the fruit tree through AI, the disease analysis module (34) obtains the coordinate position of the plant diseases and insect pests of the fruit tree according to the data of the map module (1), so that the disease image judgment sub-module (341) judges the cause of the plant diseases and insect pests of the fruit tree and the corresponding prevention and control measures of the plant diseases and insect pests according to the type of the plant diseases and insect pests of the fruit tree, the coordinate position of the plant diseases and the environmental data of the fruit garden, and the database (31);
the disease analysis module (34) can also construct a thermodynamic diagram of the pest and disease fruit tree according to the coordinate position data of the pest and disease fruit tree, and the disease analysis module (34) obtains the propagation rate of the pest and disease according to the color change data of the thermodynamic diagram; the growth curve graph of the pest and disease fruit trees is obtained according to the number of the pest and disease fruit trees, and the disease analysis module (34) obtains the growth rate of the pest and disease according to the growth curve graph; the disease analysis module (34) obtains a prevention and control effective value according to the propagation rate and the growth rate, and when the prevention and control effective value is greater than or equal to an alarm threshold value, the disease analysis module (34) sends an alarm signal to prompt adjustment of prevention and control measures; when the prevention and control effective value is smaller than an alarm threshold value, the disease analysis module (34) does not execute an alarm action;
the fruit selling system comprises a fruit selling platform (4), wherein the fruit selling platform comprises a pricing module (41), a tracing module (42) and a display module (43), the pricing module (41) is used for setting fruit selling prices, the pricing module (41) comprises a basic price setting sub-module (411) and a price adjusting sub-module (412), the basic price setting sub-module (411) is used for acquiring market information, and the basic price setting sub-module (411) takes the average price of corresponding fruits as a basic price; the price adjustment sub-module (412) is used for acquiring the information acquisition module (32), the planting assisting module (33) and the planting assisting module (33), the price adjustment sub-module (412) respectively sets corresponding adjustment coefficients according to the shape of fruits, the states of the fruits, the times of diseases and insect pests of the fruits and the types of diseases and insect pests of the fruits, and the price adjustment sub-module (412) obtains final selling price according to the basic price and the adjustment coefficients;
the tracing module (42) is used for attaching FRID labels to the fruits of each fruit tree, and the tracing module (42) records planting information, picking information and sales information of the fruits in the corresponding fruit tree through the FRID labels;
the display module (43) is used for acquiring data of the map module (1), the archive building module (2) and the information acquisition module (32), so that the display module (43) displays fruit growth process pictures.
2. The digital map-based fruit tree pest control system according to claim 1, wherein: the data of the information acquisition module (32) can be sent to the map module (1) so as to acquire the information corresponding to the fruit tree by clicking the map module (1).
3. The digital map-based fruit tree pest control system according to claim 1, wherein: the map module (1) can also record soil fertility data of different positions of the orchard, and the planting assisting module (33) obtains influence values of fruit tree growth in different areas according to the soil fertility data and illumination data through the data of the map module (1) and the archive building module (2); the planting assisting module (33) obtains growth state values of different areas according to the influence value and the data of the information acquisition module (32) so as to judge whether the fruit trees grow normally.
4. A digital map-based fruit tree pest control system as claimed in claim 3, wherein: the planting assisting module (33) sets fertilization parameters for fruit trees in different areas according to the growth state values so that the fruit trees in different areas have corresponding fertilization amounts; the planting assisting module (33) performs RTK positioning fertilization according to the fertilization parameters and through an unmanned fertilization vehicle.
5. The digital map-based fruit tree pest control system according to claim 1, wherein: the plant disease and insect pest prejudging sub-module (352) can also acquire data of the plant protection record sub-module (353), and the plant disease and insect pest prejudging sub-module (352) judges probability of each plant disease and insect pest type possibly occurring according to historical data of plant disease and insect pest prevention and control types, the technology of the environment quantity acquisition module (351), the data of the map module (1) and the data of the information acquisition module (32).
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