Subproject 3c: Sensor-controlled yield prediction for grass and maize
Over the last decades little development was made regarding the use of site-specific field data for precision farming in forage production. Since the milk quotas are abolished in 2015 the dairy sector is expected to grow strongly. Therefore, the forage production has yet to become more efficient in order to maintain self-sufficient. This project focuses on developing knowledge about real-time data from sensors and decision support (i.e. crop growth models) to achieve more accurate yield predictions. The aim is to determine how crop yield of pastures can be estimated and how the spatial distribution within a field-plot can be visualized.
• ZLTO also on behalf of NCB Ontwikkeling
• Agrifirm Feed B.V.
• Kverneland Group Nieuw-Vennep B.V.
• Wageningen University and Research
This part of the project will be executed in cooperation with the project Amazing Graze. You can read here the latest news items about predicting grass growth.
Also have a look at this YouTube video "Blij met sensoren in de wei" ('Happy with sensors in the field') in which video is explained and demonstrated how sensors can be used to predict for example the biomass production of a pasture.