Agriculture productivity maps based on satellite images at the field level are revolutionizing the way farmers manage their crops. These maps provide detailed insights into the health and performance of individual fields, enabling farmers to make data-driven decisions and optimize their agricultural practices.

Satellite imagery provides a wealth of information about vegetation indices that influence crop growth. By leveraging advanced image processing techniques, agriculture productivity maps can be used as input data for machine learning model training.