DocumentCode
507821
Title
Notice of Retraction
Application of Principal Component Analysis in Analyzing Main Influence Factors of Increasing Grain Yield in Sanjiang Plain
Author
Liu Dong ; Li Tianxiao ; Fu Qiang
Author_Institution
Sch. of Water Conservancy & Civil Eng., Northeast Agric. Univ., Harbin, China
Volume
2
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
519
Lastpage
523
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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.
Keywords
agricultural products; principal component analysis; China; Hongxinglong Bureau of Sanjiang Plain; agricultural machinery; grain security system; principal component analysis; Agriculture; Civil engineering; Computer applications; Fertilizers; Irrigation; Power generation economics; Principal component analysis; Standardization; Water conservation; Water resources; Sanjiang Plain; grain yield increase; influence factors; principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.19
Filename
5363283
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