👉 Farmer computing is a data-driven approach that empowers farmers to make informed decisions by leveraging technology and analytics. It involves collecting, processing, and analyzing data from various sources, such as soil sensors, weather stations, drones, and satellite imagery, to gain insights into crop health, yield prediction, irrigation needs, and pest management. By using machine learning algorithms and predictive models, farmers can optimize resource allocation, reduce waste, and increase productivity while minimizing environmental impact. This technology enables farmers to transition from traditional, intuition-based practices to data-informed strategies, enhancing their efficiency and sustainability in agriculture.
