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
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)