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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High-credibility RFID-based animal data recording system suitable for small-holding rural dairy farmers


In order to remain globally competitive and to ensure traceability, intensive and extensive livestock operations are adopting radio-frequency-based electronic identification (RFID) and data recording systems Such integrated systems offer dual advantages of lowered labor costs due to automation and enhanced profits due to optimization of animal productivity, health and welfare. However. RFID-based systems might not be economically viable for small-hold livestock farmers unless there is considerable value advantage. Further, the set up and operation of a data recording system for small-hold farmers is also difficult due to size-constraints and distant farm units We have developed an integrated system for small-hold dairy farmers to enable employing of RFID technology to ensure credibility of data recording, and avoidance of livestock insurance-related claim malpractices. The system can additionally be used to periodically collect performance records and to operate veterinary service delivery. The integrated system comprises of: (a) an RFID tag or insert: (b) an MD reader. (c) a PDA/mini-laptop with custom software installed: (d) a USB modem Internet connection, and (e) a central data server on web platform with dedicated server-level software. The unique feature of the system is that the veterinary health worker (VHW) is able to register and enter new records only when the MD reader connected to a mini-laptop is within reading range of the associated RFID rag. This also authenticates the visit by the VHW. Other data management operations such as browsing, sorting. data analysis and report generation can be carried out when the VHW is away from the RFID field We have deployed and validated the system in a cluster of 5000 dairy animals spread over more than 10 villages with an average of two to three animals per farmer in Thanjavur district. Tamil Nadu, India. The system is user-friendly and easy to operate in that the animals' insurance registration and issuance of policy documents can be clone in a single farm visit. The system can also be used for collecting periodic animal records and sending SMS 'alerts' to the farmers Initial economic analysis suggests that the investment cost would be recovered even if fraudulent claims in around 0 5% of the insured animals can be prevented. The sustenance cost can be recovered from the improvised health and production management service delivery to the farmers. It is however emphasized that the system can only be implemented in organized dairy operations wherein the milk processing company can establish functional collaboration with veterinary service providers, insurance company micro-finance companies and this consortium can bear the cost of RFID in exchange for long term multilateral benefits to all the stakeholders (C) 2010 Elsevier B V All rights reserved.

  • IN
  • Natl_Inst_Technol_Warangal (IN)
Data keywords
  • data management
Agriculture keywords
  • cattle
  • farm
  • livestock
Data topic
  • sensors
Document type

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

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.