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Memorias de investigación
Communications at congresses:
A network of static chemical sensors for the localization of plant diseases
Year:2013
Research Areas
  • Physics chemical and mathematical,
  • Engineering
Information
Abstract
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.
International
Si
Congress
VII Congreso Ibérico de Agroingeniería y Ciencias Hortícolas
960
Place
Madrid
Reviewers
Si
ISBN/ISSN
84-695-8844-3
Start Date
26/08/2013
End Date
29/08/2013
From page
165
To page
169
A network of static chemical sensors for the localization of plant diseases
Participants
  • Autor: Juan Ramon Duque Rodriguez (UPM)
  • Autor: Carlos Roberto Mejia Monasterio (UPM)
  • Autor: Pilar Barreiro Elorza (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: LPF-TAGRALIA: Técnicas Avanzadas en Agroalimentación
  • Departamento: Ingeniería Rural
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