To get the best effect of mineral fertilisers and plant protection agents, it is necessary to use them at the right stage of crop development. The possibility to calculate crop development stages is also central to better interpretation of sensor and satellite data, and thereby to the development of automated forecasts of yield, protein content etc., as well as for risk forecasts for mycotoxin formation in oats. The aim of the project has been to develop and evaluate prediction models for development stages in autumn wheat, spring barley and oats.
DC-kollen was a collaborative project led by Agroväst. SLU developed and evaluated models based on open data from the Swedish Board of Agriculture and SMHI, and Dataväxt AB designed a proposal for a graphical user interface.
Results from the project are included in this doctoral thesis:
Wolters, S. (2022). Towards synthesis for nitrogen fertilisation using a decision support system. Acta Universitatis Agriculturae Sueciae, (2022: 59). Available at: https://res.slu.se/id/publ/119069
Project name: DC-kollen: a web service for computation of developmental stage in winter wheat, malting barley and oats
Budget: 1.1 million SEK
Project partners: Agroväst AB (project lead), SLU (Swedish University of Agricultural Sciences), Dataväxt AB
Funder: The Lantmännen Research Foundation
Planned project period: 2020–2021 (the project is completed)
Kristin Persson
Researcher
Department of soil and environment, SLU
kristin.persson@slu.se, +46 511-67222