Application of GIS and Distance Monitoring Technologies in the Study of the Bioecology of Tomato Pests (On the Example of Andijan Region)

Abstract

The article provides an in-depth analysis of the bioecological characteristics, life cycles, and distribution factors of the main pests affecting tomato crops - Tuta absoluta, aphids, and thrips - in the conditions of Andijan region. Specifically, it highlights the potential use of modern GIS (Geographic Information Systems) and remote sensing technologies (drones, multispectral cameras, satellite imagery) for timely detection of these harmful organisms and planning effective control measures against them. Additionally, the article explains pest monitoring forecasting models based on AI (artificial intelligence), Random Forest, YOLO, NDVI indices, and early warning systems with practical examples. Based on real conditions in Andijan region, the article reveals ways to implement innovative approaches in tomato agroecosystems.