Forage crops occupy a dominant part of the agricultural landscape in Sweden and form the basis of ruminant diets. Farmers aim to maximize harvest yield while maintaining a high level of forage quality. The proposed project is a partnership between SLU and Dataväxt, and aims to develop a decision support system (DSS) that integrates satellite data and simple crop models to map and predict biomass, N status and nutritive value of forages. The three main activities of the project include i) data collection, ii) model development and testing, and iii) DSS development. Existing datasets will be used for model calibration and DSS development. Extra data collection will be performed in fields distributed across Sweden. The functioning DSS will assist farmers with feed budgeting, harvest logistics, efficient use of fertilizer, and eventually, result in a more economically and environmentally sustainable system.