The research and development in previous projects that evaluate potentials of Decision Support Systems (DSS) for Integrated Weed Management (IWM), have shown that it is possible to reduce herbicide consumption by an average of 20-40%, when carrying out field-specific treatments and in some cases as much as 80-90%, when site-specific treatments 1 are carried out.
The purpose of the RoboWeedMaPS, RWM, project is to further analyze the potential for reducing the amount of herbicide used in different crops. This is based on existing data from previous data collections through 4 growing seasons from the RWM project, plus another 2 years from previous projects.
In the project, the following will be highlighted:
- What is the economy for the farmer?
- What pesticide amounts expressed as Treatment Frequency Index (TFI) and Danish Environmental Load Index (ELI) should be used?
- What is the scenario upscaled to the Danish winter grain area?
This study is supplemented by a further project in 2021-2022, which is also sponsored by the Danish Environmental Protection Agency’s (Danish EPA) ‘Partnership for Precision Spraying’, where the weed quality of the RWM product chain will be investigated in full scale fields experiments.