Use of a Bayesian belief network to identify situations that favour fruit fly incursions in inland SE Australia

MODSIM05 - International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, Proceedings

Volumn , Issue , 2005, Pages 386-391

  Clift, Alan ^a   Meats, Alfie ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Bayesian Belief networks; Incursions; Outbreaks; Tephritidae

Indexed keywords

AUSTRALIA; FRUIT FLIES; INCURSIONS; MICRO SATELLITE; OUTBREAKS; QUALITATIVE INFORMATION; QUEENSLAND; TEPHRITIDAE; EXCLUSION ZONES; INITIAL INOCULUMS; MOST LIKELY; QUEENSLAND FRUIT FLIES; SIMILAR DATUM;

COMPUTER SIMULATION; DECISION MAKING; DECISION THEORY; FRUITS; HIGHWAY ADMINISTRATION; INFORMATION DISSEMINATION; ORCHARDS; BEHAVIORAL RESEARCH; LOCATION;

BAYESIAN NETWORKS;

EID: 80053127768     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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4. Gilchrist, AS (2004) Final Report Project AH01013 'Use of microsatellites to determine the source of Queensland fruit fly outbreaks in the Fruit Fly Exclusion Zone" Fruit Fly Research Centre, University of Sydney, 40 pp.
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