Multi-Objective Crop Planting Structure Optimisation Based on Game Theory

Author:

Wu Li,Tian Junfeng,Liu YanliORCID,Jiang Zhongfeng

Abstract

To realise the ecological protection and high-quality development of the Yellow River Basin and transition from extensive utilisation to intensive conservation of agricultural water, a multi-objective crop planting structure optimisation model was established. The model enabled highly efficient crop planting in terms of net income with high yield and low consumption of water. Thereafter, the game algorithm was used to balance different requirements of each objective function under each constraint, both competitively and cooperatively, to obtain an optimal crop planting structure. Finally, the proposed model and analysis method were demonstrated and verified using the Xiaolangdi south bank irrigation area as an example. The results indicated that using the competitive game algorithm produced a superior crop planting structure in terms of high net income, high yield, and low water usage, suggesting that the relationships between game players and objective functions should be considered in designing the optimisation model. Thus, the proposed approach provides a theoretical basis for the sustainable development of the agricultural industry by realising the intensive utilisation of water resources in a particular irrigation area.

Funder

Henan soft science research program,Key scientific research projects of colleges and universities in Henan Province, National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference16 articles.

1. Speech at the Symposium on ecological protection and high-quality development in the Yellow River Basin;Xi;China Water Resour.,2019

2. Coupling and Coordination Characteristics of Agricultural Water Saving and Ecological Environment in the Yellow River Basin;Wang;Yellow Rivwe,2022

3. Cost-effectiveness analysis of water-saving irrigation technologies based on climate change response: A case study of China

4. Physiological characterization of introgression lines derived from an indica rice cultivar, IR64, adapted to drought and water-saving irrigation

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