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
Citrus planting is subject to a variety of complex factors, such as terrain and growth-stage. There are a few differences between citrus planting on hills and in other places. In this paper, we focus on the integration of hilly citrus production knowledge. We organize and convert the citrus production knowledge in the forms of texts, tables and pictures in technical reports and books into a hilly citrus fertilization and irrigation ontology. Three citrus decision services (fertilization, nutrient imbalance, and irrigation/drainage) are developed for fruit farmers in Chongqing, China, based on the ontology. We compare the system results and the reference values recommended by citrus experts to ensure that our system can provide correct and helpful advice for growers. The results of the fertilization service are completely consistent with the experts' expectations. The nutrient imbalance service meets growers' requests with a 98% accuracy, and the irrigation/drainage service can achieve 94% accuracy. Our work can also be further connected with other agricultural ontologies and integrated to be subclasses of AOS ontology. (C) 2015 Elsevier B.V. All rights reserved.
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