Rishav Kumar Singh*
The integration of AI in agriculture extends to autonomous farming equipment, where smart machines powered by AI algorithms handle tasks like crop monitoring, plant phenotyping etc. AI technologies, such as machine learning and computer vision, enhance precision farming by optimizing resource usage, crop monitoring and decision-making processes. These innovations contribute to increased efficiency, sustainability and yield in agricultural practices. However, challenges like data privacy, cost effective and ethical considerations remain. In these paper different techniques using artificial intelligence is reviewed and their efficiency is recorded.