Crop climate risk identification method and device and computer equipment
A technology for risk identification and crops, applied in the field of risk assessment, can solve problems such as lack of universal and operability objective identification methods, and achieve the effects of easy automatic processing, easy manual analysis, and strong operability
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Embodiment 1
[0055] See figure 2 A flow chart of a crop climate risk recognition method provided by the embodiment of the present disclosure. Such as figure 2 As shown, the crop climate risk recognition method mainly includes the following steps:
[0056] S201, obtains climate index data and crop disaster damage data, generating climate risk census data matrix, wherein each climate index data in the climate risk census data matrix is associated with a crop disaster loss, the crop disaster data Loss data determined according to the disaster damage target;
[0057] Specifically, climate indicators data and crop disaster reduction data can be obtained from the historical data recorded by the meteorological observatory, or you can find a large quantity in the Internet database, and you can find it in the previous record literature.
[0058] In a specific embodiment, the location, time, crop disaster loss data, and multiple climate index data are acquired, and the above data is made into a tabl...
specific Embodiment approach
[0112] According to a specific embodiment of the present disclosure, the method further comprises:
[0113] Calculate the correlation coefficient of all climate risk factors and disaster damage targets in turn;
[0114] By verifying the correlation coefficient, correlation test reliability is obtained.
[0115] Specifically, crop yield can be obtained from the historical data recorded by the weather observation station, or you can find a large number in the Internet database, and you can find it in the previous record literature.
[0116] The crop yield change trend and the correlation coefficient of all single climate index data matrices were calculated using mathematical methods to determine the linear correlation between crop yield change and all single climate index data matrices.
[0117] In a specific embodiment, the T test is used to verify all related coefficients, resulting in correlation inspection reliability, and investigating the consistency of the correlation coeffic...
Embodiment 2
[0131] See Figure 4 The block diagram of a crop climate risk recognition device provided in the present disclosure embodiment. Such as Figure 4 As shown, the crop climate risk recognition device 400 includes:
[0132] The module 401 is acquired to obtain climate index data and crop disaster damage data, generating climate risk census data matrix, wherein each climate index data in the climate risk census data matrix is associated with a crop disaster loss data, said Crop damage data is the loss data determined according to the disaster damage target;
[0133] The sort module 402 is used to rearrange the climate index data in order to increase or decrease in each climate index data, to obtain a single climate index data matrix, wherein the single climate index data matrix includes all climate indicators corresponding to the climate index. And crop disaster data;
[0134] The determination module 403 is used to determine whether the climate index is a primary selection climate r...
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