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
THE CONSTRUCTION OF INTELLIGENT AGRICULTURAL SYSTEMS BASED ON THE INTERNET OF THINGS AND KNOWLEDGE BASE
Agriculture as a basis for relations with people's livelihood industries, its information and intelligence level is particularly important. The Internet of Things has a thorough perception of technology and a wide range of interoperability, and it makes the collection and transfer of agricultural data between heterogeneous systems more convenient and more efficient. Knowledge of agriculture is the core of intelligent agriculture decision_support systems and expert systems. Model base and inference engine is the key algorithms of the intelligent agricultural decision_support systems and expert systems. Agricultural decision_support system for ago-technical staff with expertise provides decision-making in agricultural production. Agricultural expert system for ordinary provides farmers of decision-making reference in agricultural production. This article focused on the architecture and key technology of intelligent system of agriculture.
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