The integration of artificial intelligence (AI) and machine learning (ML) methods in agriculture has garnered considerable interest in recent years. It has emerged as an authoritative tool that can transform the agricultural industry by improving productivity, boosting resource consumption, and improving decision-making processes. Integrating AI and ML technologies in the agricultural supply chain is revolutionizing, the domain by bringing in robust monitoring and prediction and quick decision-making abilities. A comprehensive literature scrutiny of the applications of artificial intelligence devices and machine learning an authoritative revolutionize farming practices and improve crop yield, resource management, and sustainability in agriculture. This present study explores the various applications of AI and ML in agriculture, focusing on their benefits, challenges, and prospects.