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 paper, we propose a method to estimate an adaptability of environmental data on each farmland concerning with each cultivation of vegetables. We propose an actual method to represent a feature of a farmland. We define an adaptability of a farmland for vegetables as a value of differences between environmental data on the farmland and a condition of a standard manner of the cultivation. Since the size of observed data on each farmland is big, it is difficult to apply various algorithms for analysis to the data. Therefore, we present the method to compress such a big data into a simple value by indexing from observed values into -1, 0, or 1. Then, the method is applied to the data obtained by our cultivation experiment of tomatoes. From the result by comparing the values of adaptability obtained by experiments in 2013 and 2014, we show that the adaptability can be expected to have close relationship with growth of vegetables.
Inappropriate format for Document type, expected simple value but got array, please use list format