e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

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.

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The Actualities and Prospects of Ultrasound-based Pattern Recognition in Crop Feature Extraction


With the advances in information technology and electronics, various intelligent agricultural machines and equipments have been developed for crop production during pre-harvest, harvest and post-harvest stages, respectively. Accurate information about the crop feature parameters is very important for precision agriculture in crop production. Sensing techniques and systems for measuring crop parameters with an acceptable accuracy and high reliability at a reasonable price are essential prerequisite for obtaining this information. Ultrasound, as a nondestructive, fast and reliable technique, can be used to measure the parameters of crop. Utilizing the pattern recognition technique, canopy volume, crop biomass and fruit maturity state can be determined based on these parameters. This paper reviewed the developments in ultrasound-based pattern recognition system for extracting feature of crop over the past decades up to 2010. The current status of ultrasonic systems was described in the context of commercial application. Some of the challenges and considerations on the use of the sensor and technology for specialty crop production are also discussed. Emphases are placed on the technology that have been proven effective or have shown great potential for crop feature extraction.

  • CN
  • Minist_Agr (CN)
Data keywords
  • information technology
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • sensors
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Minist_Agr (CN)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.