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
Integrating spatial soil organization data with a regional agricultural management simulation model: A case study in northern Tunisia
Cropping system models are typically used to simulate crop growth and development at the field scale. Spatial extension of the results to larger scales needs spatially referenced databases using Geographic Information Systems (GIS). However, GIS generally lack accuracy and pertinence in the soil characteristics and delineations that are required for this purpose. In addition, most soil parameters used in the soil-water models are empirical and are estimated without any reference to soil structure, making it difficult to characterize the hydrostructural functionality of spatial soil mapping units in the GIS. The objective of this article is to present an application of a new approach in soil physics for coupling a soil information (mapping and characterization) system based on the soil organization with an agronomic model, CropSyst, to be used for soil and water management purposes. Accordingly, a GIS based on a map of hierarchical natural units in the irrigated area of Cebalat (northern Tunisia) was used to build a geo-referenced soil information system for the study area. Additional information from the existing GIS of the zone was overlaid to produce "agronomic units," which result from the spatial superposition of the soil information system, farm map units, and land use. The inputs for the model were different sets of soil, crop, and crop management parameters. Simulations were conducted at the field scale for testing the ability of CropSyst to simulate yield, soil water dynamics, soil salinity, nitrogen leached, and at the regional level, yield. At the field scale, the model accurately, without calibration of soil properties, simulated the soil water content and salinity (RRMSE less than 10%). Simulated soil nitrate concentration was not close to observed values (RRMSE of 54%), but the latter were also associated with large variability. At the regional scale, the model offered an overall good integrated performance in simulating yield in the area under evaluation. For rainfed crops, the regression line between simulated and observed yield was close to 1:1; however, the model slightly underestimated simulated yield for the irrigated crops.
- Inra (FR)
- CREA_Council_Agr_Res_&_Agr_Economics (IT)
- Indiana_Univ_Purdue_Univ_Indianapolis (US)
- IRD (FR)
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