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Central Institute for Decision Support Systems in Crop Protection (ZEPP)
Institution
Section overview
Description
The ZEPP creates, processes and improves computer-aided decision support systems in crop protection to predict the occurrence and to assess the infestation as well as recommendations for the control of pests and diseases on cultivated plants.
Activities
- Research
- Research Support
Coordinated projects
- Blue mold forecast in tobacco - Evaluation of forecasting models Simperota 1 and Simperota 3
- Collaborative project: Assistance system for site specific application of pesticides. Subproject 4
- Collaborative project: Automatic detection of plant diseases with mobile devices and mobile internet for the targeted use of agricultural decision support systems - subproject 1
- Collaborative project: Decision support in crop protection: Pest identification using UAV (unmanned aerial vehicle) technology - subproject 1
- Collaborative project: Development of a forecast and decision support system to control stripe rust (Puccinia striiformis) and stem rust (Puccinia graminis) in winter wheat - subproject 2
- Collaborative project: Development of an online decision support system for the calculation of the necessary amounts of growth regulators in winter cereals. Subproject 2
- Collaborative project: Improvement of the system E-BAs for cereal production - subproject 2
- Collaborative project: Improvement of the system Smart-DDS. Subproject 2
- Collaborative project: Improving prognosis models and decision support systems in pest control by integrating high-resolution earth observation data and AI-optimized methods - Subproject A
- Collaborative project: Integration of slope angle restrictions into the Pesticide Application Manager. Subproject 1
- Collaborative project: Optimization Septoria tritici and Stagonospora nodorum control in winter wheat by implementation a calculation module of variety resistance – Subproject 1
- Collaborative project: PAM (Pesticide Application Manager): Decision support in crop protection based on terrain-, machine-, business- and public data- subproject 1
- Collaborative project: Potential medium- and long-term effects of the projected climate change on plant diseases and on fungicide efficacy in field crops in Germany - subproject 1
- Collaborative project: Reduction of herbicide use in cereal growing with respect to herbicide resistance status in main weed species for ALS- and ACCase inhibitors - OPTIHERB - subproject 3
- Collaborative project: Risk maps with GIS – a new approach for farmers and advisers in crop protection warning service in Germany – Subproject 1
- Collaborative project: Standardization of the GeoBox infrastructure - Phase 1: Dezentralized data management and regional networking - subproject 4
- Collaborative project: Usage of NFC technology in the monitoring of plant pests and diseases. Subproject 2
- Collaborative project: Usage of the efficacy and the effective period of fungicides in online decision support systems - subproject 1
- Collaborative project: use of RADOLAN-OP, hourly rainfall totals with radar data on the regionalization of the precipitation parameter in crop protection and plant production - Subproject 1
- Computer-aided prognoses and Decision Support Systems in crop protection
- Consolidation, expansion and market launch of the crop protection application manager
- Demonstration farms Integrated Plant Protection - subproject ZEPP
- Development of a computerized decision support system to prevent pea moth damage in field peas
- Development of basic data for prediction of population dynamics and risk of attack of spotted wing drosophila (Drosophila suzukii) on fruit and grape
- E-Bas - Electronic Consulting Assistant: Development and implementation of a management system for cereal production, subproject 1
- Integrated control of sugar beet diseases powdery mildew and rust
- Preventive cultivation planning in faba beans and field peas to avoid key-pest incidence and to enhance yield stability (WP1)
- Spotting the needle in a haystack: Predicting wireworm activity in top soil for integrated pest management in arable crops
- Use of geographic information systems for the regionalization of parameters for the prognosis of agricultural pathogens and to optimize the presentation of results
- Use of GIS for regionalization of parameters for the forecast of agricultural pests and to optimize the results presentation
Coordinated collaborative projects
Involved in research projects
- Analysis of virus- and bacteria-transmitted pests in sugar beet
- Decision support in plant protection by identifying plant pest species with UAV (unmanned aerial vehicle)
- Demonstration farms for integrated pest management
- Development, testing and realization of the forecast model ECO-SIMPHYT for targeted control of late blight (P. infestans) in organic potato production with the aim of the use of copper-containing fungicides to be reduced to a minimum
- Modeling of pathogens and insect pests
- Sustainable plant protection against invasive pests in orchards and vineyards (InvaProtect)
Contact
Central Institute for Decision Support Systems in Crop Protection
(ZEPP)
Rüdesheimer Strasse 60-68
55545 Bad Kreuznach
Rhineland-Palatinate
Germany
Phone: +49(0) 671/820-458
Fax: +49 (0)671/820-406
Email: info(@)zepp.info