The identifiction of plant species and the phenological state of crops are of great economic, ecologic and political relevance.
Together with our partner dida Datenschmiede GmbH, the CropClass project uses optical and radar data to classify crop types at different growth stages. The project focuses on typical crops in Germany such as wheat, rye, barley, rapeseed, potato, corn and sugar beet. The target update interval is 3-5 days, and the underlying classification is based on machine learning algorithms.
