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
In this research paper, we have developed a Speech input-output System in Indian language that can be useful in bridging the gap between lab and land. This voice enabled system will be very helpful to Indian farmers to retrieve the cultivation information like availability of seeds, fertilizers, pesticides and methods of farming. The speech input-output system is very beneficial in two angles for Indian cultivation domain, first it needs the input query of farmers in voice mode which completely avoids the end users to be literate persons and secondly the response of the system also in voice mode which is more comprehensive for every class of end-user. Speech input-output system was developed using CMU Sphinx4 for understanding the end-user query and speech synthesis was achieved by playing the prerecorded sound files for providing the response to the spoken query. We have collected the speech corpus related to Indian cultivation for this research work in Odia language which is one Indian official language. The performance evaluation of the system is measured in terms of percentage of word accuracy and word error rate as well as using mean opinion score(MOS) test. The word accuracy for known and new users is found to be 86.87 % and 75.13% respectively. The MOS test for speech output is found as 4.62 on an average.
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