Artificial Intelligence in Agriculture: A Review of Transformative Applications and Future Directions

The development of artificial intelligence (AI) is drastically changing the agricultural scene and opening hitherto unheard-of chances to improve output, promote sustainability, and create resilience within food-producing systems all around. From thorough studies of particular applications—precision farming, autonomous systems, predictive analytics, and climate change adaptation—to a larger view of the socio-economic and environmental consequences, this thorough review investigates the current and prospective roles of artificial intelligence in agriculture. We evaluate both the natural difficulties (digital divides, data security, ethical issues) and the apparent advantages (higher yields, better resource allocation, data-driven decision-making). By means of a synthesis of multidisciplinary research results, we provide academics, legislators, industry leaders, and agricultural practitioners practical insights, policy suggestions, and strategic direction. Our main point of contention is the need for a cooperative, morally based, and human-centred strategy to guarantee the transforming power of artificial intelligence benefits not just a small number but all participants in the worldwide agricultural ecosystem. Promoting a shift to a food-secure, economically feasible, and ecologically sound future is ultimately the goal.