A Novel Application of Organic Plant Farming Analysis System --- Using Game Theory and Multi-Agent Technique

  • Authors:

  • Chih-Yao Lo;Yu-Teng Chang

  • Affiliations:

  • School of management, Huazhong University of Science & Technology, and Department of Information Management, Yu-Da University, Miaoli County, Taiwan, R.O.C. 36143;School of management, Huazhong University of Science & Technology, and Department of Information Management, Yu-Da University, Miaoli County, Taiwan, R.O.C. 36143

  • Venue:
  • AMT '09 Proceedings of the 5th International Conference on Active Media Technology
  • Year:
  • 2009

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Abstract

In the recent decade, people have attached increasingly greater importance to healthy diet demands; facilitating rapid growth of organic agriculture. However, methods for organic cultivation have great differences from traditional methods. How to effectively choose appropriate organic crops, for season changes and different farming conditions, is a difficult issue for the majority of planters. In addition, achieving the goal of maximum economic profits for the year must target all crops, and should be evaluated as the basis of priority selection. Taking organic vegetable farming as an example, this research uses knowledge and rule-based methods, while applying a game and multi-agent theory, and develops a set of graphic intellectual decision evaluation mechanisms with ASP.NET and MS-SQL. In the system, a merger of game theory and multi-agent system was tested and verified to provide suggestions that are 84.25% effective, as compared to the suggestions provided by experts. Future studies will apply the theory on other crop planting issues.