Prediction of Agricultural Water Consumption in 2 Regions of China Based on Fractional-Order Cumulative Discrete GreyModel

• Main Authors: Yunhong Xu, Huadong Wang, Nga, Lay Hui
• Format: Article
• Language: English; English
• Published: Hindawi 2021
• Subjects: S1-(972) Agriculture (General); S560-571.5 Farm economics. Farm management. Agricultural mathematics Including production standards, record keeping, farmwork rates, marketing
• Online Access: https://eprints.ums.edu.my/id/eprint/32219/1/Prediction%20of%20Agricultural%20Water%20Consumption%20in%202%20Regions%20of%20China%20Based%20on%20Fractional-Order%20Cumulative%20Discrete%20GreyModel.pdf; https://eprints.ums.edu.my/id/eprint/32219/2/Prediction%20of%20Agricultural%20Water%20Consumption%20in%202%20Regions%20of%20China%20Based%20on%20Fractional-Order%20Cumulative%20Discrete%20GreyModel1.pdf; https://eprints.ums.edu.my/id/eprint/32219/; https://www.hindawi.com/journals/jmath/2021/3023385/; https://doi.org/10.1155/2021/3023385

In this paper, a new forecasting method of agricultural water demand, fractional-order cumulative discrete grey model, is proposed. Firstly, the best fitting of historical data is used to construct the optimization model. MATLAB programming is applied to solve the optimization model and obtain the o...