Observatorio de I+D+i UPM

Descripción
In this work we present a numerical analysis of the performance of a passive search strategy for localizing plant diseases in a crop plantation where the effect of wind is negligible. The method consists of a set of cooperative passive sensors which decode the information contained in the concentration of Volatile Organic Compounds (VOCs) emitted by plants to detect the source of a disease outbreak in a crop field. The sensors work cooperatively and they provide an estimation of the location of the infectious focus using either Bayesian or classical inference rules. We show that the key parameters affecting the efficiency of the localization method are the rate of detection, the number of chemical sensors and their distance from the source. This method is extensible to more general media, and it constitutes a more economic alternative to the traditional image-based methods and active search strategies, which become unfeasible under the presence of obstacles.
Internacional	Si
Nombre congreso	VII Congreso Ibérico de Agroingeniería y Ciencias Hortícolas
Tipo de participación	960
Lugar del congreso	Madrid
Revisores	Si
ISBN o ISSN	84-695-8844-3
DOI
Fecha inicio congreso	26/08/2013
Fecha fin congreso	29/08/2013
Desde la página	165
Hasta la página	169
Título de las actas	A network of static chemical sensors for the localization of plant diseases

Esta actividad pertenece a memorias de investigación

• Autor: Juan Ramon Duque Rodriguez (UPM)
• Autor: Carlos Roberto Mejia Monasterio (UPM)
• Autor: Pilar Barreiro Elorza (UPM)

• Creador: Grupo de Investigación: LPF-TAGRALIA: Técnicas Avanzadas en Agroalimentación
• Departamento: Ingeniería Rural