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
Dynamic Crop Information System Design and Implementation Based on 3s Technology in Shaanxi Province
By using 3s technology, the dynamic crop information system can be developed to meet the needs of sharing the agriculture information in Shaanxi Province. The dynamic crop information system can realize the query of crop information attribute and space, and the automatic acquirement, dynamic distribution and classification analysis of crop information. In this way, the whole process of real-time management of agricultural product with information and visualization can be carried out, which is to improve the level of agriculture information management automation in Shaanxi Province. The main agricultural products in Shaanxi Province consist of two categories, the food crops and the economic crops. The former includes wheat, corn, rice, potato and soybean etc., and the latter includes rape, apple, and pear and so on. Crop production plays an important role in the traditional agriculture in Shaanxi Province. The price of agricultural products has witnessed great fluctuations these days. On the one hand, the price of agricultural products in urban area is very high. On the other hand, the agricultural product is unsalable in some places, which brings great financial losses to those farmers. How to efficiently make use of the land resources, how to ensure the price of agricultural products, how to stabilize the agricultural product, and how to improve comprehensive production capacity, anti-risk ability and the market competition ability of the agricultural product are the urgent problems to be solved. This study adopts the method of combining the GPS, RS and GIS to extract and classify the earth surface information, by which the crop information system can be established. This system can offer the basis for management and masses of users to realize the automatic extraction of agricultural cultivation information. At present, remote sensing technology has been widely used in agriculture, forestry, geology, ocean, meteorology, hydrology, military, environmental protection and many other fields. In terms of agricultural production, remote sensing technology can provide objective, timely and accurate information with great variety of crop ecological environment and crop growth. It is the important source to obtain the field data for precision agriculture
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