👉 Agricultural computing is the application of advanced computing technologies, including artificial intelligence, machine learning, and big data analytics, to optimize agricultural processes and improve farm management. It involves the collection, analysis, and interpretation of vast amounts of data from various sources such as satellite imagery, drones, soil sensors, weather stations, and farm equipment. This data-driven approach enables farmers to make informed decisions about planting, irrigation, fertilization, pest control, and harvesting, ultimately increasing crop yields, reducing resource waste, and enhancing sustainability. By leveraging agricultural computing, farmers can also predict weather patterns, monitor crop health, and manage livestock more efficiently, leading to higher productivity and profitability while minimizing environmental impact.
