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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Cloud-Based Harvest Management System for Specialty Crops


Harvesting labor is a major cost factor in the production of specialty crops. Today accruing harvest labors is still done by hands, which is error-prone and costly. By integrating cloud-based web application with purposely designed labor monitoring devices (LMDs), we developed a harvest management system for monitoring and accruing harvest labors. The system comprises of two major components: an in-orchard data collection network collecting harvest data and transmitting them to a cloud-based labor management software (LMS); and, LMS processing harvest data and delivering results to users via a tablet-friendly web interface. Using a patented technology, the system accurately accrues harvest labor activities for multiple orchards, even under complex many-to-many employment relations. The system provides multi-fold benefits to stakeholders of specialty crop harvesting: a picker can be compensated accurately by the actual weight of the fruits he picked; and an orchard manager may monitor labor activities in real time and improve his orchard operation based on the analytical reports generated by the system. The dynamic resource allocation provided by a cloud computing platform ensures that the system can handle the fluctuating demand for processing real-time harvest data during and off harvest seasons. The design of the system is optimized for cloud computing, improving the access to orchard data while preserving their privacy for growers. A prototype of the system has been validated in field tests in United States' Pacific Northwest Region.

  • US
  • Washington_State_Univ (US)
Data keywords
  • information system
  • cloud based
Agriculture keywords
  • agriculture
Data topic
  • big data
  • information systems
Document type

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

Institutions 10 co-publis
  • Washington_State_Univ (US)
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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.