Suggest mitigation measures to reduce nutrient losses – Decision Support Tool Framework

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Decision Support Tool Framework

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FAIRWAY Project

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Decision Support Tool Framework

Home
Nutrient Tools
Pesticide Tools
DST Leaflets
Submit your tool
FAIRWAY Project

Selected tools:

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Country of origin Country of origin Country where the tool was developed and applied.

Denmark (1)
France (0)
Germany (0)
Greece (0)
Ireland (0)
Netherlands (2)
Norway (0)
Portugal (0)
Romania (0)
Slovenia (2)
United Kingdom (1)
Sweden (0)

Language Language Language in which the application should work

Danish (1)
Dutch (2)
English (1)
French (0)
German (0)
Greek (0)
Norwegian (0)
Portuguese (0)
Romanian (0)
Slovenian (2)
Spanish (0)
Suomi/Finnish (0)
Swedish (0)

Focus

Tools on farm management (4)
Tools on water catchment management (2)
Tools for regional/national policy advice (2)

Pesticide type

All types (0)
Fungicide (0)
Herbicide (0)
Insecticide (0)
Other (0)

Farming system Farming system Main production focus

Arable (5)
Livestock (6)
Mixed (5)

Fertilizer type

Mineral / manufactured materials (6)
Organic materials (6)

Output Output Desired output

Recommend on individual farm management (4)
Suggest mitigation measures to reduce nutrient losses (6)
Estimate expected environmental impact (3)

Output Output Desired output

Identify weeds/diseases/pests (0)
Keep record on applications (0)
Provide label details of plant protection products (0)
Rank plant protection products' toxicity (0)
Recommend on choice of plant protection products (0)
Recommend on storage, handling and sprayer calibration (0)
Suggest mitigation measures to reduce pesticide pollution (0)

Cost Cost Should the decision support tool be freely available (non-commercial)?

Free (4)

Home\Product Output (nutr.)\Suggest mitigation measures to reduce nutrient losses

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Beregeningswijzer (BWW)
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Bodemconditiescore
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FARMSCOPER
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Nacrtovanje gnojenja
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Smernice za strokovno gnojenje
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TargetEconN
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727984

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727984