The technology of artificial intelligence in land monitoring

Abstract

This study explores the application of neural network processing and geoportal technologies in analysing changes in agricultural land near the city of Tyumen. The utilisation of satellite imagery and remote sensing technologies has become integral to land monitoring processes, particularly in agriculture. By integrating satellite data with artificial intelligence, the study identifies field boundaries, tracks land usage, and monitors crop development. Key findings underscore the effectiveness of geoportals in providing real-time monitoring of crop status, growth stages, and pest infestations. The study highlights the role of advanced vegetation indices as NDVI and EVI in assessing land dynamics and soil conditions. The results show the potential of these technologies to support sustainable agriculture and land management practices. Continued research and technological advancements are recommended to fully harness the benefits of remote sensing in promoting sustainable land use and agricultural development.