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
Economic growth and production process development require technological support. Technology changes production functions, enabling a higher number of goods to be produced using the same amount of input. In this review, we discuss research and development in information technology that has led to innovative actions, with the new generation of tools, known as precision agriculture tools, that can be applied in Brazilian poultry production. In this context, research and development have focused on producing technological innovations based on increasingly specialized tools that go beyond human mind power, and are related to the acquisition, access, and processing of a huge number of data. The technology generated to date has assimilated the knowledge of experts, transferring it to the computing environment, providing steady, consistent, inexpensive, and fast tools to support decision-making in corporate farms. This will produce more precise and documented decisions, based on accessible and reproducible knowledge. There would be no direct interference of the global market, bringing benefits to producers, consumers, and also ensuring the welfare of birds. This review also highlights the interest of researcher in developing intelligent applications to support best practices, methods, and processes in order to monitor the production chain. It also shows that a few changes may affect the process as a whole, enabling fast decision-making, and promoting a preventative and less aggressive management of birds.
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