Data-Driven Agriculture refers to the use of data and technology to improve farming practices and crop yields. By collecting and analyzing information from various sources, such as soil sensors, weather forecasts, and satellite imagery, farmers can make informed decisions about planting, irrigation, and pest control. This approach helps optimize resources and increase efficiency. Farmers can utilize tools like precision agriculture and big data analytics to monitor their fields in real-time. These technologies allow for better management of crops and livestock, ultimately leading to sustainable farming practices. As a result, data-driven methods contribute to food security and environmental conservation.