MONITORING OF THE CONDITION OF SPRING WHEAT CROPS IN THE AKMOLA REGION ACCORDING TO REMOTE SENSING DATA

Abstract

The article presents the results of a study on the use of Earth remote sensing data to solve agricultural problems in predicting the yield of grain crops. The condition of crops in the fields was analyzed by vegetation phases based on satellite images from the Sentinel-2 satellite with measurements on the One soil platform. The indicators of the values of the vegetation index with selected shooting dates for each phase of spring wheat were studied.To work on this platform, a digital basis of the studied sites has been created in the Quantum Gis program. The values of the vegetative index and the dynamics of changes in the NDVI vegetative index are determined. The peaks of NDVI values correspond to the phase of tillering and exit into the tube. A strong correlation has been established between NDVI values and yield, which makes it possible to use these data as a basis for estimating and predicting yield.