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
A brief review is given of the current situation, activities, views and trends in precision agriculture (PA). PA is an information-driven production system having close connection with the elaboration and introduction into agricultural production of information technologies, such as the Global Information System (GIS), the Global Positioning System (GPS), estimation of the field heterogeneity, the spot fertility leveling, the improvement and monitoring systems, the processing management and control systems, as well as determination criteria for efficiency estimation of agricultural machinery in field crop cultivation; impact of the soil humidity on the tillage energy consumption, structural planning systems, economical and ecological estimation of farming. Highly developed computerized system, provided with sensors DS1923, allowed the introduction of monitoring the technological grain drying process, ensuring its operative control thus obtaining high-quality dry grain with low energy consumption and expenses. The main goals of the PA in the crop production are yield maximization, input minimization, maximizing financial advantages and minimizing the environmental impact. There are some problems for the implementation of PA: a lot of labour-consuming and expensive measurements and analyses are required; comparatively high investments for its implementation are needed; unpredictable weather conditions and variability have great influence on spatial yields. Prospectively, it is necessary to carry out a field surface levelling in order to prevent lowland cornfield area of ducking out. In Latvia PA would be efficient for increasing the production and minimizing its expenses and undesirable impact on environment. It is the farming system of the future.
Inappropriate format for Document type, expected simple value but got array, please use list format