Abstract
A visual pests diagnosis system development tools based on binary tree (abbreviation: knowledge system development tools) was developed by techniques of computer visualization, binary tree, XML database and reasoning. This tool combined tree knowledge expression with rule-based reasoning machine, proposed the knowledge acquisition and the reasoning technique based on binary tree, and solved the problem of knowledge acquisition used for pests diagnosis with an expert system development tools–CLIPS. The reasoning machine with stateless continuous reasoning technology can improve the efficiency of knowledge acquisition and system reasoning. In this article, we introduced the components and working principles of the pest diagnosis system development tools, and described its usage with a simple example.
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Liu, Y.-t.: The design and realization of the front-end system of crop plant diseases and insect pests ground survey. Agriculture Network Information (7) (2006)
Wu, H.-l.: The introduction and application of Clips–an expert system tool. Beijing Institute of Technology Publishing House, Beijing (1991)
Wu, H.-l.: The introduction and application of Clips—a new expert system tool 5(3) (1992)
Shen, A.-h.: Research and application of forward and backward reasoning based on binary taxonomic key. Journal of Zhejiang University (Agriculture and Life Sciences)Â 32(5) (2006)
Ming, B.: Design and Realization of the Maize Disease Diagnosis System Based on Image Rules. Journal of Maize Sciences 17(6) (2009)
Yang, J.-h.: Expert System of Diagnosis and Controlling for Maize Disease, Pest and Weeds in Province. Master Thesis of Jilin Agricultural University (2006)
Brown, M.P.S., Grundy, W.N., Lin, D.: Knowledge-based analysis of microarray gene expression data by using support vector machines. PNAS 97(1), 262–267 (2000)
Horowitz, E., Zorat, A.: The Binary Tree as an Interconnection Network: Applications to Multiprocessor Systems and VLSI. IEEE Transactions on Computers C-30(4), 247–253 (1981)
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Qiu, Y., Zhou, G. (2011). Research of Pest Diagnosis System Development Tools Based on Binary Tree. In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18336-2_36
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DOI: https://doi.org/10.1007/978-3-642-18336-2_36
Publisher Name: Springer, Berlin, Heidelberg
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