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
These days livestock farming can contributes to the huge profit income to the farmers. The main element must be considered in order to ensure the animal is in good condition is by monitoring the health status. The health data collections in the field such as core body temperature, heart rate, medications, call for fast and accurated method, which allows repeated measurement through time. One of the popular technique for measuring the spatial distribution and temporal variation of livestock health data content is by using Android Smartphone. In this paper we present the development project called Livestock Information System (LIS) on Android Smartphone to access continuously the animal state of health data. This project use Android operating system where equipped with bluetooth technology where it will communicate and process the wearable health sensors reading and display the exact temperature and heart rate of the livestock. In order to gather statistical data from mobile based to PC via web services, Google Cloud Storage enable this interaction. This device is reliable and accurate in determining the livestock health status.
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