e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Title

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

en
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.

en
Year
2014
en
Country
  • ES
Organization
  • Univ_Politecn_Madrid_UPM (ES)
  • Univ_Complutense_Madrid_UCM (ES)
Data keywords
  • information technology
en
Agriculture keywords
  • agriculture
en
Data topic
  • information systems
  • modeling
  • sensors
en
SO
VII CONGRESO IBERICO DE AGROINGENIERIA Y CIENCIAS HORTICOLAS: INNOVAR Y PRODUCIR PARA EL FUTURO. INNOVATING AND PRODUCING FOR THE FUTURE
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Univ_Politecn_Madrid_UPM (ES)
uid:/X355X09D
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.