Modeling of catastrophe prediction based on fuzzy reasoning in intelligent agriculture

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. © 2008 Binary Information Press.

Authors
Yu F. 1, 2, 3 , Liao G.1 , Li R.3
Number of issue
5
Language
English
Pages
2211-2219
Status
Published
Volume
4
Year
2008
Organizations
  • 1 School of Computer and Information Engineering, Hunan Agricultural University, Changsha 410128, China
  • 2 Faculty of Agriculture, Peoples' Friendship University of Russia, Moscow, 117198, Russian Federation
  • 3 College of Computer and Communication, Hunan University, Changsha 410082, China
Keywords
Catastrophe prediction; Expert system; Fuzzy reasoning; Intelligent agriculture
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/3058/
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