Abstract

The article discusses a method for assessing the growth rate of plants, as a variant of understanding the ripening time and understanding the harvesting time of an agricultural crop. In most well-known software products, as a rule, they operate with averaged data on the field area, which is a very rough approximation, since fields can have different topography, water supply, soil types, etc., which affects the growth rate of plants. This article presents an approach to assessing the growth rate of an agricultural crop based on the dynamics of the NDVI vegetation index for each pixel of a satellite image. Multispectral images of the MSI Sentinel-2 device are taken as satellite data. The results of the assessment of the vegetation index and growth rate of agricultural crops, as well as the values of temperature, humidity and total precipitation for four months (May, June, July and August) are shown. The proposed results can be used in various farms to estimate the time of ripening and, accordingly, the harvesting of crops. Keywords: Sentinel-2 multispectral instrument, NDVI vegetation index, winter wheat, growth rate estimation.

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