Optimized Irrigation Model - Rebuild and optimize the food system
DOI: 10.23977/erej.2021.050105 | Downloads: 5 | Views: 811
Haodi Yan 1, Yan Feng 2, Yelin Ao 3, Jiayi Song 1
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 AuthorHaodi Yan
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.
KEYWORDSWheat, 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
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