Artificial Intelligence in Farming: Enhancing Agricultural Productivity and Sustainability

Anjan Kumar Ojha

Abstract: Artificial Intelligence (AI) has rapidly emerged as a transformative force across industries, and its application in agriculture represents a significant stride toward solving global food challenges. With increasing population and climate change pressures, the demand for sustainable food production is growing. This paper elaborates on how AI technologies such as machine learning, computer vision, robotics, and predictive analytics are revolutionizing modern farming. We analyze real-world use cases including precision farming, yield forecasting, smart irrigation, and autonomous machinery. The paper also discusses challenges such as data fragmentation, infrastructure limitations, and the digital divide, concluding with strategic recommendations for integrating AI into agricultural ecosystems.