GRAIN CLUSTERS AND REDUCE PRODUCT WASTE

This study analyzes the problems of forming a modern agrologistic ecosystem in grain clusters and reducing post-harvest losses at the stages of grain cultivation, storage and transportation. The work studies the role of Internet of Things (IoT), artificial intelligence (AI) and controlled atmosphere (CAS) technologies in increasing logistics efficiency . The shortcomings of storage and transport infrastructure and their economic consequences are assessed using the example of the agrarian sector of the Republic of Uzbekistan, in particular, the activities of grain clusters in the Kashkadarya region. The analysis shows that the transition from traditional storage and transport systems to a smart logistics ecosystem significantly reduces product waste and serves to strengthen national food security.