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Optimized Irrigation Model - Rebuild and optimize the food system

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DOI: 10.23977/erej.2021.050105 | Downloads: 0 | Views: 72

Author(s)

Haodi Yan 1, Yan Feng 2, Yelin Ao 3, Jiayi Song 1

Affiliation(s)

1 College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Inner Mongolia Autonomous Region, 010000, China
2 School of Economics and Management, Inner Mongolia Agricultural University, Inner Mongolia Autonomous Region, 010000, China
3 College of Computer Information and Engineering, Inner Mongolia Agricultural University, Inner Mongolia Autonomous Region, 010000, China

Corresponding Author

Haodi Yan

ABSTRACT

At present, the global food system is unstable, people are facing serious food shortages, security and environmental damage and other problems.By establishing multiple linear regression model and optimizing irrigation system model, this paper studied the most influential factor of grain yield, namely effective irrigation area, by using analytic hierarchy process, and then analyzed this factor to find the conditions required by crops when the yield is optimal. Thus, the problem of grain yield is optimized. a multiple linear regression model was established. The results showed that to improve wheat yield and profitability, it was necessary to increase the irrigation amount during winter jointing to increase wheat yield.

KEYWORDS

Wheat, Multiple linear regression model, Analytic hierarchy process, Optimizing irrigation system model

CITE THIS PAPER

Haodi Yan, Yan Feng, Yelin Ao, Jiayi Song, Optimized Irrigation Model - Rebuild and optimize the food system. Environment, Resource and Ecology Journal (2021) 5: 32-36. DOI: http://dx.doi.org/10.23977/erej.2021.050105

REFERENCES

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[2] Zhou Zhigang, Zheng Mingliang. Decomposition of influencing factors of grain yield in China based on logarithmic mean Dittell index method [J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31 (2): 1-6.
[3] Liu Shun, Huang Guoqin. Study on Fluctuation of Grain Yield in Anhui Province [J]. Chinese Agricultural Science Bulletin, 2012, 28 (21): 125-130.
[4] Wu Yuming, Li Jianxia, Xu Jianhua. Journal of Central China Normal University, 2002, 36 (4): 419-423. (in Chinese)
[5] Lu Xiaoqiang, Luo Gaoyuan, Yang Junhu. Grey correlation analysis of grain yield influencing factors in Hebei Province [J]. Shanxi Agricultural Sciences, 2012, 40 (2): 164-167. (in Chinese)

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