Citrus plot value index calculation method and device
A technology of value index and calculation method, applied in the direction of calculation, complex mathematical operation, data processing application, etc., can solve the problem of less consideration of the production period of pests and diseases, and achieve the goal of improving accuracy and correctness, improving accuracy and ensuring comparability. Effect
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Embodiment 1
[0045] Such as figure 1 As shown in a block citrus index value calculation method, comprising the steps of:
[0046] S11, acquires the test data in the specified area, calculates the test data according to the formula yield, obtained coefficient mu, the designated region is not limited to research and administrative areas;
[0047] S12, calculates the test data in the study area according to the interference factors is calculated, the interference factors obtained coefficient;
[0048] S13, according to AHP indicators of the study area index weight calculation, the weight coefficient index weight, calculates the weight coefficient of the index weight according to multiply complex algorithm to obtain a suitable coefficient, the index of the study area include soil , topography, climate;
[0049] S14, Coefficient of acquiring the production area, in accordance with the value of the index plots the yield calculated coefficients, the coefficients interfering factors, the suitability c...
Embodiment 2
[0058] Such as figure 2 As shown in A calculates data to be tested in the study area according to the interference factors is calculated, the interference factors obtained coefficients, comprising the steps of:
[0059] S21, the test data comprises precipitation data, temperature data and multi-spectral data, precipitation data is calculated in accordance with Calculate the precipitation data to obtain the first index, calculate formula according to temperature data Calculate the temperature data to obtain the second index, calculate the formula according to multi-spectral data The multi-spectral data is calculated to obtain a third index, wherein the TRCI is a precipitation state index, and the TRMM is any integer of the precipitation data, and the TCI is an arbitrary integer of 1 to 12, and the TCI is the surface temperature state index, the LST is the temperature data. NDVI is a normalized vegetation index, NIR is near infrared band, and RED is a red light wave section;
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Embodiment 3
[0081] Such as image 3 As shown, a citrus plot value index computing device, including:
[0082] The yurt calculation module 10: Used to obtain the data to be tested according to the specified area, calculate the pre-test data according to the yield calculation formula, to obtain the per mu yield, the designated area is not limited to the research area and the administrative area;
[0083] Interference factor calculation module 20: Used to calculate the data to be tested by the study area according to the interference factor calculation formula to obtain an interference factor coefficient;
[0084] Suitability calculation module 30: Used to determine the index weight calculation of the study zone based on the hierarchy analysis method, obtain the indicator weight coefficient, calculate the indicator weight coefficient according to the multiplication composite algorithm, to obtain a suitability coefficient, the Indicators in the study include soil, terrain, climate
[0085] Earth V...
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