Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (837kB) | Preview |
Duque Rodríguez, Juan Ramón and Gutiérrez López, Javier and Mendez Fuentes, Valeriano and Barreiro Elorza, Pilar and Mejia-Monasterio, Carlos and Gomez-Ullate, David (2012). Search strategies and the automated control of plant diseases. In: "First International Conference on Robotics and Associated High-Technologies and Equipment for Agriculture", 19/09/2012 - 21/09/2012, Pisa, Italia. pp. 163-170.
Title: | Search strategies and the automated control of plant diseases |
---|---|
Author/s: |
|
Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | First International Conference on Robotics and Associated High-Technologies and Equipment for Agriculture |
Event Dates: | 19/09/2012 - 21/09/2012 |
Event Location: | Pisa, Italia |
Title of Book: | Proceedings of First International Conference on Robotics and Associated High-Technologies and Equipment for Agriculture |
Date: | 2012 |
Subjects: | |
Faculty: | E.T.S.I. Agrónomos (UPM) [antigua denominación] |
Department: | Ingeniería Rural [hasta 2014] |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (837kB) | Preview |
We propose the use of the "infotaxis" search strategy as the navigation system of a robotic platform, able to search and localize infectious foci by detecting the changes in the profile of volatile organic compounds emitted by and infected plant. We builded a simple and cost effective robot platform that substitutes odour sensors in favour of light sensors and study their robustness and performance under non ideal conditions such as the exitence of obstacles due to land topology or weeds.
Item ID: | 21029 |
---|---|
DC Identifier: | https://oa.upm.es/21029/ |
OAI Identifier: | oai:oa.upm.es:21029 |
Deposited by: | Memoria Investigacion |
Deposited on: | 03 Dec 2013 14:47 |
Last Modified: | 17 Dec 2018 07:02 |