Crop Type Mapping

Crop type mapping uses satellite imagery and other data sources to identify the types of crops grown in different areas, aiding in yield prediction, resource management, and policymaking. Current research emphasizes improving the accuracy and efficiency of mapping through advanced deep learning models, including foundation models pre-trained on large datasets and those incorporating weather data and farmer-provided information to enhance prediction accuracy and timeliness. These advancements are crucial for optimizing agricultural practices, improving food security, and supporting sustainable land management strategies globally.