👉 Crop computing refers to the application of advanced data analytics, machine learning, and artificial intelligence technologies to optimize agricultural practices and enhance crop yields. This involves collecting and analyzing vast amounts of data from various sources, such as satellite imagery, drones, soil sensors, weather stations, and farm management systems. By processing this data, farmers can gain insights into crop health, soil conditions, water usage, pest infestations, and more, enabling them to make informed decisions about planting, irrigation, fertilization, and harvesting. Crop computing aims to improve efficiency, reduce waste, minimize environmental impact, and ultimately increase productivity and profitability in agriculture.
