APPLICATION OF CHLOROPHYLL INDEX TO DETECT NUTRIENT DEFICIENCY IN AGRICULTURAL PLANTS BY REMOTE SENSING

Received 02.08.2024
Revised 31.10.2024
Published 06.12.2024

Abstract

This scientific article discusses the use of Earth remote sensing (ERS) to monitor crop conditions in Chui Oblast, Kyrgyzstan. Special attention is paid to the calculation of the chlorophyll index (CI) to identify nutrient deficiencies. The use of Sentinel-2 satellite data has shown the high efficiency of the method for promptly identifying problems in the fields

Keywords

Sentinel-2 satellite images QuantumGIS software NDVI RCL GIS technologies remote sensing
Suggested citation
Bekturov, M., Zhumabekova, A., & Konurbayeva, G. (2024). APPLICATION OF CHLOROPHYLL INDEX TO DETECT NUTRIENT DEFICIENCY IN AGRICULTURAL PLANTS BY REMOTE SENSING. Bulletin of the Kyrgyz National Agrarian University, 22(5), 17-24.

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