FIELD: computer technology.
SUBSTANCE: result is achieved through the implementation of a method for determining the yield of agricultural fields, performed by at least one computing device, containing stages in which: receive a request for determining the yield of a field containing data characterizing the type of crop; receive the first set of multispectral images for a given period of time, and each multispectral image of agricultural fields. It contains the values of the polarization of the wave, in particular the values of VH polarization, W polarization and the angle of incidence of the beam when shooting using radar aperture synthesis; based on the mentioned first set of images, a set of polarization indices for the agricultural field is determined; a second set of multispectral images is obtained for a given period of time, each multispectral image of the agricultural field contains pixel intensities in the visible infrared spectrum, near infrared spectrum and short-wave infrared spectrum, as well as the values of the cloud cover of the image pixels; based on the mentioned second set of images defines a set of vegetation indices for agricultural fields and a set of color indicators; determine soil moisture content indices for a given period of time for agricultural fields; determine weather data for a given period of time for agricultural fields; based on data characterizing the type of crop, a set of polarization indices, a set of vegetation indices, a set of color indicators, soil moisture content indices and weather data, determine the yield of agricultural fields.
EFFECT: increase in the accuracy of forecasting the yield of agricultural fields.
32 cl, 6 dwg
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Authors
Dates
2024-07-02—Published
2022-07-22—Filed