I for Precision Agriculture: Optimizing Crop Yield and Resource Management

Abstract

AI is transforming agriculture by enabling precision farming, automated pest detection, and crop health monitoring. This paper explores AI techniques such as computer vision, deep learning, and reinforcement learning for optimizing agricultural productivity. It discusses challenges such as data variability, sensor calibration, and adoption barriers. Case studies highlight AI-driven agricultural solutions, demonstrating improved crop yields, reduced resource consumption, and sustainable farming practices.