Applications of Artificial Intelligence in Agriculture: A Review

Abstract

In recent years, the agricultural sector has witnessed a growing utilisation of Artificial Intelligence (AI). The agricultural sector faces various obstacles that impede maximum productivity, including insufficient soil management practices, the prevalence of plant diseases and pests, the requirement for extensive data analysis, subpar agricultural output, and a disparity in technological proficiency among farmers. The primary focus of artificial intelligence (AI) in the agricultural sector revolves around its ability to adapt, deliver enhanced performance, offer precision, and provide cost-efficiency. The primary aim of this article is to provide a thorough examination of the diverse applications of artificial intelligence (AI) within the realm of agricultural practices, with particular emphasis on soil management, crop management, weed control, and disease management. The primary objective of this study is to assess the strengths and limitations of these applications, with a particular emphasis on the utilisation of expert systems to augment productivity within this domain.