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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The skills and knowledge that employers value most are not always well-aligned with undergraduate engineering technology programs. With the support of a federal grant, we identify and propose to broaden the undergraduate student experience to include training in transferable skills with agricultural robotics technologies. With the advancement of information technology and control theory, agricultural robotics technology is becoming more advanced and more widely used in the labor intensive agricultural industry. Modern farming requires making increasingly complex scientific, business, and financial decisions, so qualified workers with advanced education/training in diversified technology background are highly demanded. Thus, it is extremely important for higher education institutions, especially minority serving universities, to offer appropriate education opportunities for students to prepare them adequately for their future career. As a relatively new discipline, Engineering Technology is the application of engineering principles and modern technology to help solve or prevent technical problems. The programs are designed to meet the growing need created by the technology revolution for college-educated problem solvers who can support the engineering process. Thus, the ET program is featured with its emphasis on hands-on skills training, to enable ET students to solve production and system implementation problems and help them explain solutions. Therefore, to prepare the students to meet the industry requirements in the job market, it is urgent to update the educational curriculum along with technology trend in the ET program. To better fulfill the departmental primary purpose to prepare students for a successful professional career in diversified technology fields, in the current phase of the project, an special topic class is offered to the Engineering Technology students. The course is featured with general introduction of agricultural robotics, theory and technology behind motion robotics, and hands-on experience with motion robotics. This paper introduces the current progress and implementation strategies on this course and discusses the future plan of the project in better aligning the goal of the department to that of the sponsoring agent.

  • US
  • USDA_ARS_Agr_Res_Serv (US)
  • Prairie_View_A&M_Univ (US)
Data keywords
  • knowledge
  • information technology
Agriculture keywords
  • agriculture
  • farming
Data topic
  • knowledge transfer
Document type

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

Institutions 10 co-publis
  • USDA_ARS_Agr_Res_Serv (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.