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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Title

Anti-interference Optimal Design of Grain Combine Harvester Multiple Target Working Speed Control Model

en
Abstract

Harvesting speed is a key factor that influences working quality, utilization and harvest efficiency of the working process of grain combine harvester. In order to solve multi-objective control and poor anti-interference ability of measurement system in combine harvester, this paper uses optimization theory and error analysis theory to integrate analyze multi-source disturbance of data which is acquired in measurement and control system. The optimum working state control algorithm which proposes by this paper has better robust and anti-interference features, and what is more, it can be targeted by low yield loss, high productivity and low power cost. It provides theoretical basis and data support for the domestic agricultural harvesting machine, which also is an effective means to heighten the automatic level of the agricultural information technology.

en
Year
2013
en
Country
  • CN
Organization
  • China_Agr_Univ_CAU (CN)
Data keywords
  • information technology
en
Agriculture keywords
  • agriculture
en
Data topic
  • modeling
en
SO
MATERIALS PROCESSING AND MANUFACTURING III, PTS 1-4
Document type

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

Institutions 10 co-publis
  • China_Agr_Univ_CAU (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.