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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An energy assessment of a large grain storage and transfer facility in Michigan: An industry, university and public utility company collaborative effort resulting in energy savings outcomes


In the spring of 2012 Lawrence Technological University was approached by DTE Energy (the local utility company) with funding to have students and faculty work on an applied research project with the Michigan Agricultural Commodities, Inc. (MAC) to undertake an energy assessment of the MAC Marlette, MI facilities. The MAC is a private company in the business of buying, selling, storage and distribution of agricultural commodities such as corn, wheat and other grains, dry beans and edible soya beans. Rising utility costs and fixed commodities prices necessitated the need for a concerted effort by the MAC to reduce their energy costs. DTE Energy was also interested in balancing the electric power utility distribution load in the predominantly rural area the MAC facility is located. For this project students served as part-time paid employees of the university working directly under the supervision of university faculty. There were two major phases for this project. Phase 1 concentrated on establishing a reliable and useful power and energy usage data acquisition capability, and testing grain hopper aeration and drying fan systems both with and without the use of variable frequency drive power regulators. Phase 2 involved a full energy assessment of the MAC, Marlette facility including grain receiving, grain drying (which uses electric and natural gas), outdoor temporary grain storage piles, outdoor safety and security lighting, and office areas. This paper reviews how Lawrence Technological University engineering faculty brought students into the project, and then how the student and faculty team directed, managed, and carried out all of the major tasks associated with the two major phases of this project. The nature of this project made it an excellent educational opportunity for students by providing them a real customer, real needs, specific timelines, and required deliverables. Also reviewed are how students had multiple opportunities to set up experiments, collect and interpret testing data, and then report the final results of those energy usage data, management and savings. Because of the various parties involved, there were several opportunities for students to interact with other business personnel, and technical specialists. Lastly, a summary is provided for how future similar projects might be created, structured and managed to assure successful projects with a broader use and application of the knowledge they generate.

  • US
  • Lawrence_Technol_Univ (US)
Data keywords
  • knowledge
Agriculture keywords
  • agriculture
Data topic
  • big data
  • information systems
  • knowledge transfer
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.