A review of artificial intelligence in agriculture: Applications, challenges, and future prospects

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in agriculture, enhancing productivity, precision, and sustainability. This paper reviews the current state of AI applications in agriculture, including precision farming, crop monitoring, pest and disease detection, and supply chain optimization. Additionally, it explores the challenges associated with AI adoption, such as data limitations, high costs, and the need for technological literacy among farmers. The paper concludes with an outlook on the future of AI in agriculture, emphasizing the potential for increased efficiency and sustainability.