Abstract
The pest catastrophe prediction in ecology catastrophe is one of important part in expert system of intelligence agriculture and also the guarantee for preventing and controlling the pest catastrophe occurrence efficiently. The paper introduces the basic principles and methods of current catastrophe prediction in ecology catastrophe. According to modeling for the dynamic process of population, up-grown and amount of spawn, the paper finds out the trigger point and critical value inducing the pest catastrophe and implements the catastrophe prediction of Cnaphalocrosis Medinalis, which take measures before catastrophe to prevent big population coming into being.
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© 2007 Springer Berlin Heidelberg
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Yu, F., Shen, Y., Yue, G., Wu, R., Xu, C. (2007). Catastrophe Prediction of Cnaphalocrosis Medinalis Based on Fuzzy Reasoning. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72588-6_15
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DOI: https://doi.org/10.1007/978-3-540-72588-6_15
Publisher Name: Springer, Berlin, Heidelberg
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