Agricultural Land Allocation for Crop Planning in a Canal Command Area Using Fuzzy Multiobjective Goal Programming
Publication: Journal of Irrigation and Drainage Engineering
Volume 143, Issue 6
Abstract
Real-world problems in the agricultural sector are usually multiobjective in nature. More than one objective needs to be fulfilled simultaneously to incorporate economic and social requirements in an acceptable and optimal cropping pattern. Fuzzy multiobjective goal programming (FMGP) techniques can be used to solve optimization formulations. The purpose of this paper is to present a fuzzy multiobjective-based goal programming (GP) model for optimal allocation of land under cultivation to optimize cropping patterns. In this work, goal programming is implemented in two parts. In the first part, only two objectives, maximization of benefit and production, are considered. In the second part, seven objectives are considered in goal programming: maximization of benefit, maximization of production, minimization of investment, minimization of fertilizer application [i.e., minimization of nitrogen (N) application, minimization of phosphorus (P) application, and minimization of potash (K) application], and minimization of water application. FMGP is used to solve multiobjective formulations. Multiobjective solutions provide the necessary aspiration and tolerance levels for goal programming. Performance evaluation of the methodology is demonstrated for a real canal command area.
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Acknowledgments
The authors acknowledge the help from UP Irrigation Department, Allahabad; UP Agriculture Department, Allahabad; and India Meteorological Department, Pune, for providing necessary data for this study.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 143 • Issue 6 • June 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Nov 23, 2015
Accepted: Nov 15, 2016
Published ahead of print: Jan 31, 2017
Published online: Feb 1, 2017
Published in print: Jun 1, 2017
Discussion open until: Jul 1, 2017
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