Abstract
An unmanned aerial vehicle (UAV) for agriculture is an excellent planner and controller for multiple stages of agricultural operations. UAVs cope with monitoring and assessing the quality of land and forecasting future yields, as well as monitoring the condition of crops, processing them faster and with a minimum of costs - the economic benefit of using machines for large agro-industrial holding companies and individual farmers is on the face. The basis for this kind of work to determine the NDVI index is the reflection of solar radiation by agrocenoses, which is related to the amount of chlorophyll in the plant's phytomass. There is a close correlation between these two factors - the larger the phytomass, the higher the reflection of solar radiation.
 The article presents some of the results of research on the processing of aerial photographs obtained with UAV Geoscan 201 Agro. According to the results of the analysis of aerial photographs, a method of scoring the state of winter crops in the early spring period is proposed with recommendations for further response to preserve the future harvest in each field.
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