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

A Novel Quality Classification Method to Measuring Chemical Contents in Tobacco Leaves

en
Abstract

Tobacco quality classification plays a significant role in its market price determination. Conventional methods including linear discriminant analysis, K-means clustering and BP-neural network flaw in capture the nonlinear structure. The use of support vector machine (SVM) has been shown to be a cost-effective technique, But it is used as a non-preprocessing way for a classification task. This paper extended SVM with kernel principal component analysis (KPCA) for extract valuable discriminatory information. The method is then applied to classify tobacco leaves quality of the Wulong country, one of the most important tobacco planting areas of Chongqing. The classification performance of the proposed method is proven superior compared with other statistical and machine learning methods.

en
Year
2008
en
Country
  • CN
Organization
  • SW_Univ (CN)
Data keywords
  • machine learning
en
Agriculture keywords
  • agriculture
en
Data topic
  • modeling
en
SO
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON INFORMATIONIZATION, AUTOMATION AND ELECTRIFICATION IN AGRICULTURE
Document type

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

Institutions 10 co-publis
  • SW_Univ (CN)
uid:/S1H00S1S
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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.