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
Farm Management Information Systems (FMIS) and technical efficiency: An analysis of citrus farms in Brazil
This study aims to investigate the impacts of personal aspects and aspects of the decision-making process (Rougoor et al., 1998) on the technical efficiencies of citrus farms in Brazil. A variable that measures the adoption of Farm Management Information Systems (FMIS) was created, which is an innovative aspect of this paper. Primary data for the crop year of 2013114 (cross sectional data) were collected from a sample of 98 farms located in the State of Sao Paulo, one of the largest citrus regions in the world. The single stage model developed by Battese and Coelli (1995) was used to estimate the stochastic production frontier translog and the determinants of the efficiency of farms. The results showed that the technical efficiency scores across citrus farms range from 28% to 97%, with a mean of 75%. The expectation formation (personal aspect), the use of long-term contracts and the adoption of Farm Management Information Systems (aspects of decision-making processes) were significant determinants of technical efficiency. This result confirms the hypotheses built around these variables. (C) 2015 Elsevier B.V. All rights reserved.
Inappropriate format for Document type, expected simple value but got array, please use list format