Crop rotation model for contract farming with constraints on similar profits

Li, Jing, Rodriguez, Daniel, Zhang, Dongqing and Ma, Kaiping (2015) Crop rotation model for contract farming with constraints on similar profits. Computers and Electronics in Agriculture, 119 12-18. doi:10.1016/j.compag.2015.10.002


Author Li, Jing
Rodriguez, Daniel
Zhang, Dongqing
Ma, Kaiping
Title Crop rotation model for contract farming with constraints on similar profits
Journal name Computers and Electronics in Agriculture   Check publisher's open access policy
ISSN 0168-1699
1872-7107
Publication date 2015-11-01
Year available 2015
Sub-type Article (original research)
DOI 10.1016/j.compag.2015.10.002
Open Access Status Not Open Access
Volume 119
Start page 12
End page 18
Total pages 7
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2016
Language eng
Abstract In China, investors have contracts with smallholder farmers to plant organic vegetable crops. The objective of the smallholder farmers is to maximize profits per unit of farm area, and minimize the differences in profits between farmers. Farmers’ profits are a function of the crop rotation scheduling and the achieved prices. Here we propose an operational model that considers a crop rotation scheduling for an investor that offers contracts to many smallholder farmers. A heuristic algorithm was designed to identify the optimal rotation scheduling that would achieve both objectives of maximizing prices and minimizing the profit differences between smallholder farmers. Real data from a Chinese company was used to parameterize the model. Model results indicate that significant improvements in profits and farmers equality could be obtained if an optimal crop rotation scheduling would be used.
Keyword Contract farming
Crop rotation
Heuristic algorithm
Perishable products
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2016 Collection
 
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Created: Tue, 03 Nov 2015, 00:29:28 EST by System User on behalf of Qld Alliance for Agriculture and Food Innovation