Bayesian Networks Modeling for Crop Diseases - Archive ouverte HAL Access content directly
Conference Papers Year : 2011

Bayesian Networks Modeling for Crop Diseases

(1) , (1)
1
Chunguang Bi
  • Function : Author
  • PersonId : 1012397
Guifen Chen
  • Function : Author
  • PersonId : 972131

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.
Fichier principal
Vignette du fichier
978-3-642-18333-1_37_Chapter.pdf (182.43 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01559578 , version 1 (10-07-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Chunguang Bi, Guifen Chen. Bayesian Networks Modeling for Crop Diseases. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.312-320, ⟨10.1007/978-3-642-18333-1_37⟩. ⟨hal-01559578⟩
94 View
199 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More