The integration of machine learning (ML) and artificial intelligence (AI) in agriculture is the subject of this study. Prior to delving into the difficulties encountered and solutions employed, it examines the farming techniques. Later on, it discusses the software that various companies have created to address the difficulties encountered in farming. It also discusses the AI start-ups that are now working to incorporate AI into agriculture. By providing a thorough review of the current state of AI and ML in agriculture as well as future prospects, the findings add knowledge to both academics and the agricultural industry. The study's exploration of agricultural research and artificial intelligence's application to it comes to a close.