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
Alcohol Production Process Modelling Based on Indicators using Transactional Software, Industrial Automation and Manufacturing Execution Systems-MES
Ethanol production plants face several issues, among which increased productivity with overhead reduction. A possible way to achieve such requirements is through a reliable computer tool and bearing this in mind is proposed in this work an operating model based on operational indicators of the ethanol production process, using ERP software (Enterprise Resource Planning), transactional software, MES (Manufacturing Execution Systems) and industrial automation. The article presents this new model which consists of: Integration of information obtained from strategic decisions taken by top management, the agricultural sector, automation, operational controls, using indicators and production planning (MES). Acting based on pre-defined knowledge and on real time, using state-of-the-art automation and information technologies, backed by a very well defined information flow system. The main objective is to achieve process optimization. The main results obtained by the model are: automation of production processes, reliability and efficiency in the exchange of information, improvement of communication among the production areas and the other management areas, appropriate use of state-of-the-art technologies, real-time access to information anywhere (web) to make it possible for decisions to be made safely and secure.
Inappropriate format for Document type, expected simple value but got array, please use list format