CN110097473A - Method, device and equipment for acquiring data of crop life whole cycle - Google Patents
Method, device and equipment for acquiring data of crop life whole cycle Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000012010 growth Effects 0.000 claims abstract description 59
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- 230000003698 anagen phase Effects 0.000 claims description 49
- 230000006870 function Effects 0.000 claims description 11
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- 239000002689 soil Substances 0.000 description 7
- 241000227653 Lycopersicon Species 0.000 description 5
- 235000007688 Lycopersicon esculentum Nutrition 0.000 description 5
- 201000010099 disease Diseases 0.000 description 5
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 5
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- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
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Abstract
The invention discloses a data acquisition method for the whole life cycle of crops, which comprises the following steps: acquiring growth information of crops to be monitored, and dividing the full growth cycle of the crops to be monitored into different growth stages according to the growth information; constructing a mapping relation between the growth characteristics of each growth stage and the perception parameters by analyzing the growth information; and controlling a data acquisition unit to acquire data according to the mapping relation. According to the method and the device, data acquisition is carried out according to the data analysis result, so that the data quality of crops can be improved, useless data amount is reduced, and the data acquisition efficiency is improved.
Description
Technical field
The present invention relates to electronic information technical fields, more particularly, to a kind of data acquisition side in crops life complete period
Method, device and equipment.
Background technique
Agricultural is national basic a, acquisition for Agricultural Information, the especially relevant informations such as crop growth parameter
Acquisition, be the key that realize precision agriculture, wisdom agricultural and important foundation, meanwhile, accurate and effective crop information be agricultural
Decision is submitted necessary information basis.
But existing crops collecting method is not analyzed and is assessed to data, directly acquisition is all related
Data, therefore that there are the collected qualities of data is poor, the low deficiency of value, meanwhile, collected a large amount of useless data can make
Entire wireless sensor network spends more high energy consumption and more time to be used for data processing, reduces data acquisition efficiency.
Summary of the invention
In view of the above technical problems, the present invention provides collecting method, the devices in a kind of crops life complete period
And equipment, data acquisition is carried out according to data analysis result, the crops quality of data is can be improved, reduces useless data volume,
To improve data acquisition efficiency.The technical solution is as follows:
In a first aspect, the embodiment of the invention provides a kind of collecting method in crops life complete period, step packet
It includes:
Obtain the growth information of crops to be monitored, and according to the growth information by the full life of the crops to be monitored
Long period is divided into different growth phases；
By analyzing the growth information, the growth characteristics of each growth phase and the mapping relations of perceptual parameters are constructed；
Data collector, which is controlled, according to the mapping relations carries out data acquisition.
In a first possible implementation of the first aspect of the invention, described by analyzing the growth information, structure
Build the growth characteristics of each growth phase and the mapping relations of perceptual parameters, specific steps are as follows:
Calculate the characteristic of each growth phase and the degree of correlation of acquisition data；
According to the degree of correlation, the acquisition data are polymerize and classified, obtains and respectively corresponds each growth phase
Key parameter；
Establish the Function Mapping relationship between growth phase and key parameter.
In a second possible implementation of the first aspect of the invention, described according to the degree of correlation, it is adopted to described
Collection data are polymerize and are classified, and obtain the key parameter for respectively corresponding each growth phase, specifically:
Based on clustering algorithm and BP neural network, the acquisition data are polymerize and are classified according to the degree of correlation,
Obtain the data class that different stages of growth need to acquire.
It is described to control data according to the mapping relations in the third possible implementation of first aspect present invention
Collector carries out data acquisition, specific steps are as follows:
According to the growth phase of the crops to be monitored, the data collector acquisition and current growth phase phase are controlled
Corresponding data class；
According to different data class, the frequency acquisition of the data collector is adjusted to obtain data.
Second aspect, the embodiment of the invention provides a kind of data acquisition devices in crops life complete period, comprising:
Increase in growing season module, for obtaining the growth information of crops to be monitored, and will according to the growth information
The full growth cycle of the crops to be monitored is divided into different growth phases；
Mapping relations generation module, for constructing the growth characteristics of each growth phase by analyzing the growth information
With the mapping relations of perceptual parameters；
Data acquisition module carries out data acquisition for controlling data collector according to the mapping relations.
In a first possible implementation of the second aspect of the invention, the data in the crops life complete period
Acquisition device, further includes:
Relatedness computation module, for calculating the characteristic of each growth phase and the degree of correlation of acquisition data；
Data clusters module, for the acquisition data being polymerize and being classified, obtain difference according to the degree of correlation
The key parameter of corresponding each growth phase；
Function Mapping relation generation module, the Function Mapping relationship for establishing between growth phase and key parameter.
In second of possible implementation of second aspect of the present invention, the data in the crops life complete period
Acquisition device, further includes:
Data classification acquisition module controls the data acquisition for the growth phase according to the crops to be monitored
Device acquires data class corresponding with current growth phase；
Frequency acquisition adjusts module, for adjusting the frequency acquisition of the data collector according to different data class
To obtain data.
The third aspect, the embodiment of the invention provides a kind of data acquisition equipments in crops life complete period, comprising: place
It manages device, memory and storage in the memory and is configured as the computer program executed by the processor, it is described
Processor realizes the collecting method in as above described in any item crops life complete periods when executing the computer program.
Compared with the prior art, the embodiment of the present invention has the following beneficial effects:
The present invention utilizes big data technology, obtains a large amount of existing crop informations, is analyzed by intelligent algorithm to be monitored
After crop information, the full growth cycle of crops to be monitored is divided into the different phase with typical representative, is built simultaneously
Mapping relations between the growth characteristics and perceptual parameters in vertical crop growth stage, thus according to mapping relations acquisition with
Crop growth stage closely related data, the matter for being conducive to the correlation for improving data and improving collected data
Amount；In addition, carrying out data acquisition due to controlling data collector according to the mapping relations, it is effectively prevented from data collector not
All data are acquired through screening, reduce the possibility for collecting hash, so that it is entire to reduce to reduce useless data volume
The burden of sensing network, and then be conducive to improve the data acquisition efficiency of sensing network, and extend the use longevity of sensing network
Life.
Detailed description of the invention
Fig. 1 is the flow chart of the collecting method in one of embodiment of the present invention crops life complete period；
Fig. 2 is the schematic diagram of the collecting method in one of embodiment of the present invention crops life complete period；
Fig. 3 is the structure chart of the data acquisition device in one of embodiment of the present invention crops life complete period.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1 and Fig. 2 are please referred to, it illustrates a kind of crops life complete cycles that an illustrative embodiment of the invention provides
The collecting method of phase, step include:
S101, the growth information for obtaining crops to be monitored, and according to the growth information by the crops to be monitored
Full growth cycle be divided into different growth phases；
S102, pass through and analyze the growth information, construct the growth characteristics of each growth phase and the mapping of perceptual parameters
Relationship；
S103, data collector progress data acquisition is controlled according to the mapping relations.
Preferably, described by analyzing the growth information, construct the growth characteristics and perceptual parameters of each growth phase
Mapping relations, specifically:
Calculate the characteristic of each growth phase and the degree of correlation of acquisition data；
According to the degree of correlation, the acquisition data are polymerize and classified, obtains and respectively corresponds each growth phase
Key parameter；
Establish the Function Mapping relationship between growth phase and key parameter.
In the present embodiment, using tomato as crops to be monitored, by observing for a long time, the big number of tomato is established
It is using big data and artificial intelligence approach, tomato is entire such as stem length value then according to the growth parameter(s) of crop according to set
Growth cycle is divided into rudiment, nursery, as a result definite value waits four-stages, while using big data and artificial intelligence, calculates four
Most incident disease of a stage, and establish the mapping relations between disease and perceptual parameters and correlation degree.Its mapping relations
It is as shown in the table:
The disease and perceptual parameters contingency table of the full growth cycle of 1 tomato of table
| Period | Significant disease | Perceptual parameters |
| Rudiment | Bad odontopathy | Soil temperature and humidity |
| Nursery | Samping off | Aerial temperature and humidity, illumination |
| Definite value | Foline disease | Ventilation effect, image |
| As a result | Shot hole | Aerial temperature and humidity, image |
Based on upper table, different sensors, data acquisition are driven in the period of different.Such as the budding period is easy to happen
Bad odontopathy, the main reason is that soil moisture is larger, thus data acquisition network should driving node emphasis acquisition soil temperature
The parameters such as humidity increase the frequency of soil temperature and humidity acquisition.Raw samping off is easy when tomato is in nursery stage, number needs
Driving node acquires the relevant parameter in air, while reducing the frequency of soil parameters acquisition.
In the present embodiment, the embodiment of the present invention utilizes big data technology, obtains a large amount of existing crop informations, passes through
After intelligent algorithm analyzes crop information to be monitored, the full growth cycle of crops to be monitored is divided into typical representative
Different phase, while establishing the mapping relations between the growth characteristics and perceptual parameters in crop growth stage, thus according to
The mapping relations acquisition data closely related with the current crop growth stage, be conducive to the correlation for improving data and
Improve the quality of collected data；In addition, carrying out data acquisition due to controlling data collector according to the mapping relations, have
Effect data collector is avoided to acquire all data without screening, the possibility for collecting hash is reduced, to reduce nothing
Data volume is conducive to improve the data acquisition efficiency of sensing network to reduce the burden of entire sensing network, and
Extend the service life of sensing network.By being precisely calculated characteristic and acquiring the degree of correlation of data, further screening
To the higher key parameter of the action value in crop growth stage, to further increase the quality of data and reduce acquisition data
Amount, and then improve data acquisition efficiency.
Preferably, described that the acquisition data are polymerize and classified according to the degree of correlation, it obtains and respectively corresponds respectively
The key parameter of a growth phase, specifically:
Based on clustering algorithm and BP neural network, the acquisition data are polymerize and are classified according to the degree of correlation,
Obtain the data class that different stages of growth need to acquire.
In a kind of possible implementation of the present embodiment, the concrete application of the clustering algorithm and BP neural network
Are as follows:
Obtain the image information of crops to be monitored；
Extract characteristic parameter；Extract three characteristic values such as gray value, pixel value, circularity；
The characteristic parameter is clustered using K-means algorithm, constantly updates cluster centre, until cluster centre is not
Change again or iteration terminates；
BP neural network is constructed, the network structure of BP neural network is defined, determines the network number of plies, creation function, training letter
Number, input training data training neural network classifier；
Test: the classifier input test data that training is completed, output category accuracy, wherein the training data
It may be known crops parameter with the test data.
In the present embodiment, the accuracy rate of crops data classification can be improved using clustering algorithm and BP neural network, with
And improve data-handling capacity.
It is preferably, described to control data collector progress data acquisition, specific steps according to the mapping relations are as follows:
According to the growth phase of the crops to be monitored, the data collector acquisition and current growth phase phase are controlled
Corresponding data class；
According to different data class, the frequency acquisition of the data collector is adjusted to obtain data.
Wherein, the data collector includes but is not limited to optical sensor, humidity sensor, temperature sensor etc..
In a kind of possible implementation of the present embodiment, when crop is in the budding period, radio node emphasis needs
Acquire the relevant parameter in soil, such as soil temperature and humidity etc.；When crop is in fruiting period, radio node emphasis collecting fruit
Pictorial information.In addition, it is higher for acquiring the frequency of intensity of illumination when daytime, it needs one hour 10 times；When night, light intensity is strong
It is lower to spend frequency acquisition, as long as one hour 1 time.
In the present embodiment, data collector is controlled according to the mapping relations and carry out data acquisition, in requisition for acquisition
Parameter adjustment data collector acquisition function, for example, it is desired to when acquiring the wavelength and frequency of light call optical sensor acquisition
Data, this is conducive to the maximum utility for playing sensor；Corresponding different stages of growth call different sensors to acquire data, together
When close the current unwanted sensor of growth phase in part, this is conducive to the resource and operating cost of saving sensing network；Together
When, frequency acquisition is adjusted dynamically as needed, is conducive to the load for lowering sensing network, is ensured sensing network normal operation.
Preferably, using multi-protocols multiband wireless network, slow network (LoRaWAN) and high speed network (WIFI,
ZIgbee), slow network adjusts the relevant parameter of acquisition system, sampled data type, frequency etc. according to server dynamic；
Carried out data transmission using high speed network.
Please refer to a kind of number in crops life complete period that Fig. 3 is provided it illustrates an illustrative embodiment of the invention
According to acquisition device, comprising:
Increase in growing season module 201, for obtaining the growth information of crops to be monitored, and according to the growth information
The full growth cycle of the crops to be monitored is divided into different growth phases；
Mapping relations generation module 202, for by analyzing the growth information, the growth for constructing each growth phase to be special
The mapping relations of property and perceptual parameters；
Data acquisition module 203 carries out data acquisition for controlling data collector according to the mapping relations.
Preferably, the data acquisition device in the crops life complete period, further includes:
Relatedness computation module, for calculating the characteristic of each growth phase and the degree of correlation of acquisition data；
Data clusters module, for the acquisition data being polymerize and being classified, obtain difference according to the degree of correlation
The key parameter of corresponding each growth phase；
Function Mapping relation generation module, the Function Mapping relationship for establishing between growth phase and key parameter.
Preferably, the data acquisition device in the crops life complete period, further includes:
Data classification acquisition module controls the data acquisition for the growth phase according to the crops to be monitored
Device acquires data class corresponding with current growth phase；
Frequency acquisition adjusts module, for adjusting the frequency acquisition of the data collector according to different data class
To obtain data.
Preferably, the data acquisition device in the crops life complete period, further includes algorithm computing module, is used for base
In clustering algorithm and BP neural network, the acquisition data are polymerize and classified according to the degree of correlation, obtain different lifes
The long stage needs the data class acquired.
An illustrative embodiment of the invention provides a kind of data acquisition equipment in crops life complete period, comprising: place
It manages device, memory and storage in the memory and is configured as the computer program executed by the processor, it is described
Processor realizes the collecting method in as above described in any item crops life complete periods when executing the computer program.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
Claims (8)
1. a kind of collecting method in crops life complete period, which is characterized in that step includes:
The growth information of crops to be monitored is obtained, and according to the growth information that the full growth of the crops to be monitored is all
Phase is divided into different growth phases；
By analyzing the growth information, the growth characteristics of each growth phase and the mapping relations of perceptual parameters are constructed；
Data collector, which is controlled, according to the mapping relations carries out data acquisition.
2. the collecting method in crops life complete period as described in claim 1, which is characterized in that described to pass through analysis
The growth information constructs the growth characteristics of each growth phase and the mapping relations of perceptual parameters, specific steps are as follows:
Calculate the characteristic of each growth phase and the degree of correlation of acquisition data；
According to the degree of correlation, the acquisition data are polymerize and classified, obtain the pass for respectively corresponding each growth phase
Bond parameter；
Establish the Function Mapping relationship between growth phase and key parameter.
3. the collecting method in crops life complete period as claimed in claim 2, which is characterized in that described according to
The degree of correlation is polymerize and is classified to the acquisition data, obtains the key parameter for respectively corresponding each growth phase, specifically
Are as follows:
Based on clustering algorithm and BP neural network, the acquisition data are polymerize and classified according to the degree of correlation, are obtained
Different stages of growth need the data class acquired.
4. the collecting method in crops life complete period as described in claim 1, which is characterized in that described according to
Mapping relations control data collector and carry out data acquisition, specific steps are as follows:
According to the growth phase of the crops to be monitored, it is corresponding with current growth phase to control the data collector acquisition
Data class；
According to different data class, the frequency acquisition of the data collector is adjusted to obtain data.
5. a kind of data acquisition device in crops life complete period characterized by comprising
Increase in growing season module, for obtaining the growth information of crops to be monitored, and will be described according to the growth information
The full growth cycle of crops to be monitored is divided into different growth phases；
Mapping relations generation module, for constructing the growth characteristics and sense of each growth phase by analyzing the growth information
Know the mapping relations of parameter；
Data acquisition module carries out data acquisition for controlling data collector according to the mapping relations.
6. the data acquisition device in crops life complete period as claimed in claim 5, which is characterized in that further include:
Relatedness computation module, for calculating the characteristic of each growth phase and the degree of correlation of acquisition data；
Data clusters module, for the acquisition data being polymerize and being classified, obtains and respectively corresponds according to the degree of correlation
The key parameter of each growth phase；
Function Mapping relation generation module, the Function Mapping relationship for establishing between growth phase and key parameter.
7. the data acquisition device in crops life complete period as claimed in claim 5, which is characterized in that further include:
Data classification acquisition module controls the data collector and adopts for the growth phase according to the crops to be monitored
Collect data class corresponding with current growth phase；
Frequency acquisition adjusts module, for adjusting the frequency acquisition of the data collector to obtain according to different data class
Access evidence.
8. a kind of data acquisition equipment in crops life complete period characterized by comprising processor, memory and deposit
The computer program executed by the processor is stored up in the memory and is configured as, the processor executes the calculating
The collecting method such as Claims 1-4 described in any item crops life complete periods is realized when machine program.
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| CN116863403A (en) * | 2023-07-11 | 2023-10-10 | 仲恺农业工程学院 | Crop big data environment monitoring method and device and electronic equipment |
| CN116863403B (en) * | 2023-07-11 | 2024-01-02 | 仲恺农业工程学院 | Crop big data environment monitoring method and device and electronic equipment |
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