Use of Artificial Intelligence in Agriculture

Pranabesh Barman*, Sarmistha Borgohain, Chayanika Nath, Pranjit Baruah

Abstract

Artificial Intelligence (AI) is revolutionizing the agricultural sector by enabling data driven decision making, improving resource use efficiency and enhancing crop productivity. The integration of AI with technologies such as machine learning, computer vision, robotics, drones, sensors and the Internet of Things (IoT) has accelerated the development of precision agriculture. AI applications in agriculture include crop monitoring, disease and pest detection, irrigation management, yield prediction, agricultural automation and supply chain optimization. As the global population is projected to reach approximately 9.7 billion by 2050, food production must increase significantly while ensuring environmental sustainability (Food and Agriculture Organization. AI driven technologies have demonstrated substantial potential in addressing these challenges through intelligent resource management and predictive analytics. This article discusses the major applications, benefits, challenges and future prospects of AI in agriculture, supported by scientific evidence and real world examples.