BIO Web Conf.
Volume 15, 201942nd World Congress of Vine and Wine
|Number of page(s)
|23 October 2019
VitiMeteo and Agrometeo: Two platforms for plant protection management based on an international collaboration
1 Agroscope, Plant Protection, Mycology and Biotechnology, route de Duillier 50, 1260 Nyon, Switzerland
2 WBI, Staatliches Weinbauinstitut Freiburg, Merzhauserstrasse 119, 79100 Freiburg, Germany
3 Geosens GmbH, Gewerbestrasse 14, 79227 Schallstadt, Germany
4 General Direction of Agriculture, Viticulture and Veterinary Affairs, av. De Marcelin 29, 1110 Morges, Switzerland
5 Agroscope, Plants and Plant Products, Fruit-Production Extension, Müller-Thurgaustr. 29, 8820 Wädenswil, Switzerland
The negative effects of plant protection products on the human health and the environment have become a major concern for consumers and politics in Europe. In the last years new policies for risk mitigation and reduction of use of synthetic pesticides has been enforce in Europe and Switzerland. A possible strategy to reduce the use of plant protection products is to spray according to the epidemic of diseases and pests by following decision support systems (DSS). The platform VitiMeteo offers a wide set of forecasting models for viticulture including downy and powdery mildew, black rot, grape berry moth and rust mite. Two research institutes the Staatliches Weinbauinstitut Freiburg (Germany) and Agroscope (Switzerland) developed VitiMeteo jointly. A consortium was built with the company Geosens (Germany) which is in charge of the programming of the different forecasting software. Each institute is running his own internet website with specific tools and feature for each country but the core of the system is the same. The combination of these different DSS allows a significant reduction of plant protection products used. All these forecasting systems and tools are freely available for the winegrowers on the platform www.vitimeteo.de and www.agrometeo.ch. The use of these platforms helps the winegrowers to meet current society's expectations.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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