Bayesian Networks Modeling for Crop Diseases

Abstract : Severe large-scale diseases in agricultural regions have caused significant economic damage. In order to improve crop yields, we develop a framework to predict the occurrence of crop diseases. In the presence of risk and uncertainty, this paper focuses on finding out the best pest control decision-making program which is based on the Bayesian network. The paper describes the flowchart of a Bayesian network and the principles used to calculate the conditional probabilities required in it. The practice proves that BN is an effective tool for crop disease.
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Communication dans un congrès
Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-344 (Part I), pp.312-320, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18333-1_37〉
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Chunguang Bi, Guifen Chen. Bayesian Networks Modeling for Crop Diseases. Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-344 (Part I), pp.312-320, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18333-1_37〉. 〈hal-01559578〉

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