A Bayesian belief data mining approach applied to rice and shrimp aquaculture

A Bayesian belief data mining approach applied to rice and shrimp aquaculture

In many parts of the world, conditions for small scale agriculture are worsening, creating challenges in achieving consistent yields. The use of automated decision support tools, such as Bayesian Belief Networks (BBNs), can assist producers to respond to these factors. This paper describes a decisio...

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Bibliographic Details
Main Authors: Marcus Randall, Andrew Lewis, Ben Stewart-Koster, Nguyen Dieu Anh, Michelle Burford, Jason Condon, Nguyen Van Qui, Le Huu Hiep, Doan Van Bay, Nguyen Van Sang, Jes Sammut
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827425/?tool=EBI

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