Notice of RetractionApplication of Principal Component Analysis in Analyzing Main Influence Factors of Increasing Grain Yield in Sanjiang Plain

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.