Artificial Intelligence and Agriculture- An Overview Concept

The integration of Artificial Intelligence (AI) in agriculture can revolutionize the industry by enhancing efficiency, productivity, and sustainability. Key applications of AI include precision farming, crop monitoring, livestock management, yield prediction, and agricultural robotics. These technologies help optimize resource management, improve decision-making, reduce costs, and minimize environmental impact. Despite its potential, the successful integration of AI in agriculture faces challenges such as data privacy, adoption barriers, and ethical considerations. Addressing these challenges is crucial for the responsible and equitable development of AI technologies. The future outlook for AI in agriculture is promising, with continuous advancements expected to further improve food production and security. Overall, AI represents a transformative force in making agriculture more efficient, sustainable, and productive. Keywords: Artificial Intelligence, Agriculture, Livestock, Decision-Marking, Management, Security, Environmental-Impact. Aims Research Journal Reference Format: Akinwumi D.A., Orojo, T. E., Akingbesote. B.O. & Aliyu, E. O. (2025): Artificial Intelligence and Agriculture- An Overview Concept. Advances in Multidisciplinary Research Journal. Vol. 11 No. 2, Pp 68-84 www.isteams.net/aimsjournal. dx.doi.org/10.22624/AIMS/V11N2P8