SATELLITE MONITORING OF AGRICULTURAL CROP DEVELOPMENT ASSESSMENT

Authors

  • Olena Kavats
  • Yurii Kavats
  • Kibukevych J.O.

DOI:

https://doi.org/10.34185/1991-7848.itmm.2024.01.104

Keywords:

agriculture, satellite monitoring, winter wheat, harvest, Fuzzy Logic, Sentinel-2, radar data, NDVI.

Abstract

Climate changes are increasingly affecting the agricultural industry of European countries, modern methods of satellite data offer practical solutions for monitoring the state of development of agricultural crops with the possibility of further forecasting yields. 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.

References

Willians Ribeiro Mendes, Fábio Meneghetti U. Araújo, Ritaban Dutta, Derek M. Heeren. "Fuzzy control system for variable rate irrigation using remote sensing." Expert Systems With Applications 124 (2019): 13–24.

Olena Kavats, Volodymyr Hnatushenko, Yuliya Kibukevych, Yurii Kavats. "Flood Monitoring Using Multi-Temporal Synthetic Aperture Radar Images" CSIT2019 (2019): 046, v3.

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Published

2024-04-24

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Section

Статті