DocumentCode :
2556780
Title :
Modeling of Biology Catastrophe Prediction in Intelligent Agriculture
Author :
Dai, Xiaopeng ; Huang, Huang
Author_Institution :
Hunan Agric. Univ., Changsha
fYear :
2007
fDate :
10-12 Dec. 2007
Firstpage :
253
Lastpage :
257
Abstract :
The pest catastrophe prediction in ecology catastrophe is one of important part in expert system of intelligence agriculture for prevent and control pest catastrophe occurrence efficiently. The paper introduces the basic principles and methods of current catastrophe prediction in ecology. By 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 guenee before catastrophe to prevent big population coming into being.
Keywords :
agriculture; catastrophe theory; ecology; expert systems; forecasting theory; pest control; biology catastrophe prediction; cnaphalocrosis medinalis guenee; ecology catastrophe; expert system; intelligent agriculture; pest catastrophe prediction; Agriculture; Biological system modeling; Computational biology; Environmental factors; Insects; Mathematical model; Mathematics; Predictive models; Probability; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Media and its Application in Museum & Heritages, Second Workshop on
Conference_Location :
Chongqing
Print_ISBN :
0-7695-3065-6
Type :
conf
DOI :
10.1109/DMAMH.2007.9
Filename :
4414562
Link To Document :
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