APPLICATION OF GIS AND REMOTE MONITORING TECHNOLOGIES IN THE STUDY OF THE BIOECOLOGY OF TOMATO PESTS (ON THE EXAMPLE OF ANDIJAN REGION)
DOI:
https://doi.org/10.5281/zenodo.16924669Keywords:
Tomato pests, Tuta absoluta, GIS technologies, Remote sensing, drone monitoring, NDVI index, Satellite imaging, Artificial intelligence (AI), Random Forest, YOLO, Andijan region, Bioecology, Early warning system, Feromon traps, Tomato agroecosystemAbstract
The article provides an in-depth analysis of the bioecological characteristics, life cycles, and distribution factors of the main pests of tomato crops - Tuta absoluta, aphids, and thrips - in the conditions of the Andijan region. In particular, the possibilities of using modern GIS (Geographic Information Systems) and remote sensing technologies (drones, multispectral cameras, satellite images) for the timely detection of these harmful organisms and planning effective measures to combat them are highlighted. Also, in pest monitoring, forecasting models based on AI (artificial intelligence), Random Forest, YOLO, NDVI indices, and early warning systems are explained with practical examples. The article, based on the real conditions of the Andijan region, reveals ways to implement innovative approaches in tomato agroecosystems.
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