Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/2830

Title: A Greenhouse Tomato Crop Grey Mould Disease Early Warning System
Authors: Neto, M.
Baptista, F.J.
Navas, L.M.
Ruiz, G.
Editors: Gelb, E.
Charvat, K.
Keywords: Greenhouse tomato
grey mould
wireless sensor network
early warning system
Issue Date: 2011
Citation: M. Neto, F. Baptista, L. M. Navas and G. Ruiz. 2011. A Greenhouse Tomato Crop Grey Mould Disease Early Warning System. Proceed EFITA/WCCA 11. Eds E. Gelb and K. Charvat, pp 17-25. Prague 11-14 July. (ISBN 978-80-904830-0-2; CD version ISBN 978-80-904830-3-3).
Abstract: Tomato is a very important crop in the Mediterranean region in general and in Portugal in particular being the production for fresh consumption made essentially in greenhouses. Botrytis cinerea Pers.: Fr. is the causal agent of grey mould disease and is one of the most important diseases affecting greenhouse tomato crops, high relative humidity and the presence of free water on the plant surfaces have been recognized as favourable to the development of this disease. The availability of a early warning system providing to the tomato grower alerts with information of the potential favoured conditions for the disease appearance in its early stages or even before can have a very positive impact in reducing the economic and environmental impacts due to a more rational and efficient disease control management. Today we have the necessary technology to build and launch an Internet based early warning system for grey mould disease in greenhouse tomato crop supported by a wireless sensor network. In this paper a prototype for such a system is presented. From the research conducted until the moment the proposed solution is viable and the next step will be to validate it in the field in different locations and with distinct greenhouses conditions.
URI: http://hdl.handle.net/10174/2830
Type: article
Appears in Collections:MED - Artigos em Livros de Actas/Proceedings
ERU - Artigos em Livros de Actas/Proceedings

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