INNOVATIVE MACHINE LEARNING APPROACHES FOR AGRICULTURAL SYSTEM ENHANCEMENT: CHARACTERIZATION AND PROSPECTIVE OUTLOOK

Artificial Intelligence significantly enhances the field of precision agriculture by promoting sustainability, optimizing resource distribution, and elevating productivity metrics. Techniques such as machine learning, computer vision, and the Internet of Things (IoT) support the refinement of crop management strategies, the detection of Phyto pathological conditions, and the prudent allocation of resources, thus addressing the necessity for effective agricultural methodologies in light of the increasing global population trends and urgent environmental issues. This research delineates the various algorithms within AI/ML pertinent to agricultural advancement and quantifies their contributions to the economic growth of nations.