PRECISION AGRICULTURE TECHNOLOGIES AS AN INSTRUMENT OF GREEN ECONOMY IMPLEMENTATION IN UZBEKISTAN'S FARMING SECTOR

Abstract

Abstract. This article investigates how precision agriculture technologies — including remote sensing, Internet of Things sensors, unmanned aerial vehicles, machine learning-based yield forecasting, and blockchain traceability — can serve as practical instruments for implementing green economy principles in Uzbekistan's farming sector. Against a backdrop of rising input costs, water stress, and intensifying export competition, the article analyses the environmental and economic co-benefits of site-specific crop management, real-time field monitoring, and data-driven decision support. Statistical evidence on the current digital penetration of Uzbek farms, government digitisation targets, international co-financing commitments, and documented yield and resource-use outcomes from pilot deployments is presented to demonstrate the transformative potential of precision farming. The article contends that precision agriculture is not merely a technological upgrade but a structural enabler of the green economic transition, capable of decoupling productivity growth from resource depletion.