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Collaborative project: Resource efficient plant protection based on a data driven multi-scale approach for the process chain: Diseases detection - decision support - demand specific fungicide application - subproject 3 (MartA)

Project


Project code: 2815705415
Contract period: 01.04.2016 - 31.10.2019
Budget: 372,307 Euro
Purpose of research: Experimental development

By increasing resource efficiency, agriculture can make an important contribution to increasing raw material productivity, which is anchored in the German government's sustainability strategy. In order to achieve this increase, a systemic approach for the needs-based use of fungicides for leaf diseases in winter wheat and sugar beet was researched and implemented as a prototype. Essential components are decision support, a classification of leaf diseases and an adapted spectral camera. The decision support is based on a modeling of the two crops and considers the degree of infestation and offers the user support in deciding whether treatment with pesticides is economical. With the help of the classification of leaf diseases, various diseases can be automatically recognized and differentiated. This is the basis for specific treatment.

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Subjects

  • Crop Protection
  • Agricultural Engineering Plant Production
  • Computer science
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Excutive institution

Department Agronomy (340a)

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