Paper Title
Enhancing Agriculture by Using Artificial Intelligence

Abstract
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 computer vision and machine learning, enhance precision farming[1] by optimising 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 this paper different techniques using artificial intelligence is reviewed and their efficiency are recorded. Keywords - Phenotyping, Percission agriculture, Hyperspectral imaging, Lidar, IOT