会议专题

Bayesian Networks Modeling for Crop Diseases

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 effec-tive tool for crop disease.

Bayesian network Modeling Crop Diseases Inference

Chunguang Bi Guifen Chen

College of Information & Technology, Jilin Agricultural University, Changchun, China

国际会议

The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

南昌

英文

312-320

2010-10-22(万方平台首次上网日期,不代表论文的发表时间)