A Meta-Heuristics Based Decision Support System for Optimal Crop Planning

Oluwole Adekanmbi, Paul Green


This paper presents a meta-heuristic based decision support system to support farmers with optimal strategic decision making in the crop planning system. The analysis and modelling of crop planning decision making process are attractive for producing formalized knowledge on cropping plans in an agricultural farm. The formalization of the decision making process is generally becoming a crucial focal point for developing decision support systems that go beyond the limitation of formerly developed prescriptive approaches. The methodology of this research strikes a balance between mathematical formulations of crop planning problems and effective implementation of crop planning decision models. The new approach used to solve this problem is applicable to both medium and large scale farming; it is also integrated a systemic framework to build better decision support systems in agriculture.

DOI: 10.5901/mjss.2014.v5n20p359

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This work is licensed under Creative Commons Attribution 3.0 License.

Mediterranean Journal of Social Sciences ISSN 2039-9340(Print) ISSN 2039-2117(Online)

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