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The forecast of vegetable plant diseases and insect pests commonly bases on experts' knowledge of plant protection while math modeling methods are scarcely used to analyze the associated data quantitatively. This paper establishes the forecast model for vegetable pest flea beetle by maximum likelihood algorithm. Besides, algorithm ensembles can improve the system of generalization learning ability,...
The prediction for pests is usually amphibious, relevant, complicated, and nonlinear. The neural network has the problem of decreasing generalization ability in the prediction of small samples. This paper presents a method of the prediction of pests based on fuzzy RBF neural network. A learning algorithm of adjusting the center, width and weight of the RBF is put forward. The use of fuzzy clustering...
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