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.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Agricultural specialists' intention toward precision agriculture technologies: Integrating innovation characteristics to technology acceptance model
Environmental technology is a major determinant for paradigm shift in agriculture and environmental improvement. Precision agriculture technologies are designed to provide extensive information and data to assist farmers when making site-specific management decisions. The paper aims to investigate intention and attitude toward adoption of precision agriculture technologies among agricultural specialists in Iran. A survey using stratified random sampling was used to collect data. Structural equation modeling using LISREL software was used to analyze data. The results showed that observability, triability and attitude to use positively affect intention to adoption of precision agriculture technologies. Attitude to use is the most important determinant of intention. Also, perceived ease of use and perceived usefulness indirectly influence the intention to adoption through attitude to use.
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