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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hammer, G.L., Hansenb, J.W., Phillipsb, J.G., Mjeldec, J.W., Hillc, H., Lovec, A., Potgieter, A.: Advances in application of climate prediction in agriculture. Agricultural Systems 70(2-3), 515–553 (2001)
Omamo, S.W., Lynam, J.K.: Agricultural science and technology policy in Africa. Research Policy 32(9), 1681–1694 (2003)
Leftwich, G.M.: Science and the humanities: the case for state humanities councils. Technology in Society 24(4), 523–530 (2002)
Resnick, P., Varian, H.R.: Recommender systems. Communication of ACM 40(3), 56–58 (1997)
Cheng, C.H., Soo, V.W.: Multi-Agent Recommendation Systems Based on Group Preferences. In: Proc. of PRIMA (2003)
Rasmuse, E., Young, J.Y., Chang, J.Y., Wu, L.H.: Game Theory and Information Economics. Wu Nan Books, Reading, R.O.C. (2003)
Bradshaw, J.M.: An Introduction to Software Agents. In: Software Agents, Menlo Park, pp. 3–46 (1997)
Jennings, N.R., Sycara, K., Wooldridge, M.: A Roadmap of Agent Research and Development. Autonomous Agents and Multi-Agent Systems Journal 1(1), 7–38 (1998)
Yu, C.Q., Lee, M.G.: Organic Vegetables DIY. Gardening World Publishing, Reading, R.O.C. (2001)
Araki, M., translated by Yeh, S.W.: Graphic Vegetable Cultivation Skills. Wen Guo Books, Reading, R.O.C. (2003)
Itagi, T., translated by Chou, L.L.: Encyclopedia for Family Vegetable Garden. Morning Star Publishing, Reading, R.O.C. (2003)
Tseng, H.H., Huang, G.C.: Artificial Intelligence and Expert System. Chi-Biao Publishing, Reading, R.O.C. (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lo, CY., Chang, YT. (2009). A Novel Application of Organic Plant Farming Analysis System – Using Game Theory and Multi-Agent Technique. In: Liu, J., Wu, J., Yao, Y., Nishida, T. (eds) Active Media Technology. AMT 2009. Lecture Notes in Computer Science, vol 5820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04875-3_34
Download citation
DOI: https://doi.org/10.1007/978-3-642-04875-3_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04874-6
Online ISBN: 978-3-642-04875-3
eBook Packages: Computer ScienceComputer Science (R0)