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

Mobile Sensing for Agriculture Activities Detection

en
Abstract

The agriculture activities have a major role in determining the quality and quantity of the agriculture produce. In this paper, we propose a novel mobile sensing based framework which uses machine learning algorithms for the detection of agriculture activities. To collect the sensors data and ground truth an android based mobile application has also been developed and has been provided to the farmers. We investigate the performance of Naive Bayes, Linear Discriminant Analysis (LDA) and k-Nearest Neighbor (k-NN) classifiers to detect the activities like Harvesting, Bed Making, Stand-still and Walking. We also use the same classifiers to detect the placement of the mobile phone on the body which will hence provide a degree of freedom to the farmers in placing the mobile phone as per their convenience.

en
Year
2013
en
Country
  • IN
Organization
  • Tata_Grp (IN)
Data keywords
  • machine learning
en
Agriculture keywords
  • agriculture
en
Data topic
  • big data
  • information systems
  • modeling
  • sensors
en
SO
PROCEEDINGS OF THE THIRD 2013 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC 2013)
Document type

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Institutions 10 co-publis
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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.