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2009 Fifth International Conference on Natural Computation
Application of Principal Component Analysis in Analyzing Main Influence Factors of Increasing Grain Yield in Sanjiang Plain
Tianjian, China
August 14-August 16
ISBN: 978-0-7695-3736-8
ASCII Text
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Liu Dong, Li Tianxiao, Fu Qiang, "Application of Principal Component Analysis in Analyzing Main Influence Factors of Increasing Grain Yield in Sanjiang Plain," International Conference on Natural Computation, vol. 2, pp. 519-523, 2009 Fifth International Conference on Natural Computation, 2009.
 
 
BibTex
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@article{ 10.1109/ICNC.2009.19,
author = {Liu Dong and Li Tianxiao and Fu Qiang},
title = {Application of Principal Component Analysis in Analyzing Main Influence Factors of Increasing Grain Yield in Sanjiang Plain},
journal ={International Conference on Natural Computation},
volume = {2},
year = {2009},
isbn = {978-0-7695-3736-8},
pages = {519-523},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICNC.2009.19},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Conference on Natural Computation
TI - Application of Principal Component Analysis in Analyzing Main Influence Factors of Increasing Grain Yield in Sanjiang Plain
SN - 978-0-7695-3736-8
SP519
EP523
A1 - Liu Dong,
A1 - Li Tianxiao,
A1 - Fu Qiang,
PY - 2009
KW - principal component analysis; Sanjiang Plain; grain yield increase; influence factors
VL - 2
JA - International Conference on Natural Computation
ER -
 
In order to solve the problem of multiple correlation between area influence factors of increasing grain yield, taking Hongxinglong Bureau of Sanjiang Plain for example, Principal Component Analysis is adopted to analyze these six main factors such as grain planting area, grain yield per hectare, effective irrigation area, fertilizer input, total power of agricultural machinery and farmland area of drought and flood. The results show that grain yield per hectare, effective irrigation area, fertilizer input and agriculture machinery total power are the key factors of increasing grain yield and it can provide scientific basis for making grain development strategy of Sanjiang Plain and construct grain security system of China.
Index Terms:
principal component analysis; Sanjiang Plain; grain yield increase; influence factors
Citation:
Liu Dong, Li Tianxiao, Fu Qiang, "Application of Principal Component Analysis in Analyzing Main Influence Factors of Increasing Grain Yield in Sanjiang Plain," icnc, vol. 2, pp.519-523, 2009 Fifth International Conference on Natural Computation, 2009
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