This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE) . The goal of the project is to develop a prototypical infrastructure of complementary services to predictively support agricultural processes exemplified by the harvest of silage maize. Already available but currently not used data will be unlocked and provided via interoperable services. This data originates from farm management systems, the machines themselves, public (Geo-) Information Infrastructures (e.g. Copernicus) or other sources from external partners (e.g. ripeness maps or yield prognosis maps). 365FarmNet provides via the platform the connection to potential customers. The main project task is defining the requirements on the prospective.HARVEST system from a customer aspect, the organization of test farms and the functional requirement definition for the Operation planning system. From technical aspect the main task will be to implement the User Interface of the operation planning system as well as the implementation of the framework for the task planning. In addition an analysis will be made regarding suitable business- and price-models for the project results. The other project partners will be supported by farming related questions and by technical integration issues.