INFORMATION TECHNOLOGY OF SATELLITE MONITORING OF THE DEVELOPMENT OF AGRICULTURAL PLANTS
DOI:
https://doi.org/10.34185/1991-7848.itmm.2023.01.082Keywords:
agricultural crop monitoring, satellite monitoring, winter wheat, Fuzzy Logic, Sentinel-2, radar data, NDVI.Abstract
Modern methods of processing and analyzing satellite data make it possible to solve applied problems in agriculture, determine the consequences of natural disasters, which are increasingly affected by climate change in European countries. Agriculture directly depends on natural resources and climate. Negative changes in weather conditions, such as abnormal heat, floods, forest and peat fires, dry winds, ice significantly reduce crop yields. For example, high temperatures disrupt the ability of plants to receive and use moisture. This is a serious threat to food security, as agriculture is a source of livelihood for a large number of people. Satellite data is an effective solution to increase agricultural productivity and yield. This study aims to develop an information technology of satellite monitoring for agricultural plant development with an intelligent fuzzy system.
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