%0 Conference Proceedings %T Bayesian Networks Modeling for Crop Diseases %+ Jilin Agricultural University (JAU) %A Bi, Chunguang %A Chen, Guifen %< avec comité de lecture %( IFIP Advances in Information and Communication Technology %B 4th Conference on Computer and Computing Technologies in Agriculture (CCTA) %C Nanchang, China %Y Daoliang Li %Y Yande Liu %Y Yingyi Chen %I Springer %3 Computer and Computing Technologies in Agriculture IV %V AICT-344 %N Part I %P 312-320 %8 2010-10-22 %D 2010 %R 10.1007/978-3-642-18333-1_37 %K Bayesian network %K Modeling %K Crop Diseases %K Inference %Z Computer Science [cs]Conference papers %X 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. %G English %Z TC 12 %2 https://inria.hal.science/hal-01559578/document %2 https://inria.hal.science/hal-01559578/file/978-3-642-18333-1_37_Chapter.pdf %L hal-01559578 %U https://inria.hal.science/hal-01559578 %~ IFIP %~ IFIP-AICT %~ IFIP-TC %~ IFIP-TC12 %~ IFIP-CCTA %~ IFIP-AICT-344