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
Intelligent Information Collection and Management for Crop Growing Environment Based on Internet of Things Model
With the rapid development of digital agriculture technology, the real-time, accurate and efficient monitoring on agricultural environment becomes very important. Internet of things is an important part of a new generation of information technology, which applies to data acquisition, transmission, processing and business management, etc., and provides a new way for people to acquire and process information. In this paper, we designed the information collection and management system for crop growing environment based on the Internet of things technology. This paper gave the whole framework of intelligent information collection and management system based on wireless sensor networks, mobile information collection terminal and remote monitoring technology. Then we analyzed the working process of the system, put forward the relatively accurate positioning mechanism to obtain the corp location, to achieve the goal of intelligent management.
Inappropriate format for Document type, expected simple value but got array, please use list format