A network of static chemical sensors for the localization of plant diseases

  1. Juan Duque Rodríguez
  2. Pilar Barreiro
  3. David Gómez-Ullate
  4. Carlos Mejía-Monasterio
Liburua:
VII Congreso Ibérico de Agroingeniería y Ciencias Hortícolas: innovar y producir para el futuro. Libro de actas
  1. Ayuga Téllez, Francisco (coord.)
  2. Masaguer Rodríguez, Alberto (coord.)
  3. Mariscal Sancho, Ignacio (coord.)
  4. Villarroel Robinson, Morris (coord.)
  5. Ruiz-Altisent, Margarita (coord.)
  6. Riquelme Ballesteros, Fernando (coord.)
  7. Correa Hernando, Eva Cristina (coord.)

Argitaletxea: Fundación General de la Universidad Politécnica de Madrid

ISBN: 84-695-9055-3 978-84-695-9055-3

Argitalpen urtea: 2014

Orrialdeak: 848-853

Biltzarra: Congreso Ibérico de Agroingeniería y Ciencias Hortícolas (7. 2013. Madrid)

Mota: Biltzar ekarpena

Laburpena

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.