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| Designing price-contingent vegetable rotation schedules using agent-based simulation |
| LI Jing1, Daniel Rodriguez2, WANG Hao-xiang1, WU Liu-san1 |
1 Faculty of Engineering, Nanjing Agricultural University, Nanjing 210031, P.R.China
2 Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland, Toowoomba 4350, Australia |
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Abstract Chinese vegetable production cooperatives supply their members, mostly smallholder farmers, with a rotation schedule for the year. Since vegetable prices are not stable throughout the year, designing a rotation schedule that maximizes expected profits, distributes farmers’ profits more equitably, maintains the diversity of produce in the market, and reduces the risk of pests and diseases, requires adaptive, price-contingent rotation schedules (here, called “self-adaptive adjustment”). This study uses an agent-based simulation (ABS) to design self-adaptive rotation schedules that deliver these aims. The self-adaptive adjustment strategy was more profitable for farmers when faced with price volatility, and more equitable as well. This work provides a decision-support tool for managers of Chinese vegetable production cooperatives to provide farmers with more profitable and equitable rotation schedules.
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Received: 07 February 2017
Accepted:
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| Fund: This research was supported by the National Natural Science Foundation of China (NSFC, 71301077). |
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Corresponding Authors:
Correspondence LI Jing, Tel: +86-25-58606710, Fax: +86-25-58606573, E-mail: phdlijing@njau.edu.cn
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Cite this article:
LI Jing, Daniel Rodriguez, WANG Hao-xiang, WU Liu-san .
2018.
Designing price-contingent vegetable rotation schedules using agent-based simulation. Journal of Integrative Agriculture, 17(2): 461-472.
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