Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation

Relation Model of Soil Nutrients and Tobacco Quality Based on Principal Component and Regression Analysis

Authors
Houli Hu, Jiande Wu, Xiaodong Wang, Kuake Huang
Corresponding Author
Houli Hu
Available Online April 2013.
DOI
10.2991/3ca-13.2013.25How to use a DOI?
Keywords
principal component analysis; stepwise regression analysis; soil nutrients Tobacco quality
Abstract

In order to study the relationship of tobacco soil nutrients and chemical indicators, principal component analysis and stepwise regression analysis were used to establish the relation model between soil nutrients and tobacco quality. In the first, discussing the correlation of soil nutrients and the major tobacco chemical composition; Then using principal component analysis to analyze the impact of factors of the leaf chemical indicators eliminated the intrinsic link and repeat information between properties, and extracting the principal component which strong influence on the chemical composition of tobacco; And finally stepwise regression analysis was used to established the equation between soil nutrients and tobacco chemical components.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
10.2991/3ca-13.2013.25
ISSN
1951-6851
DOI
10.2991/3ca-13.2013.25How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Houli Hu
AU  - Jiande Wu
AU  - Xiaodong Wang
AU  - Kuake Huang
PY  - 2013/04
DA  - 2013/04
TI  - Relation Model of Soil Nutrients and Tobacco Quality Based on Principal Component and Regression Analysis
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation
PB  - Atlantis Press
SP  - 98
EP  - 101
SN  - 1951-6851
UR  - https://doi.org/10.2991/3ca-13.2013.25
DO  - 10.2991/3ca-13.2013.25
ID  - Hu2013/04
ER  -