AI in agriculture involves the use of algorithms, sensors, and data analytics to improve the efficiency and productivity of farming practices. It includes technologies like machine learning, computer vision, and robotics to manage and optimize agricultural processes. AI systems can analyze vast amounts of data collected from various sources like weather patterns, soil health, and crop conditions to make informed decisions.
