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A DSS to improve inspection procedures in organic certification. Evidence from an Italian case study

Gambelli, Danilo; Solfanelli, Francesco and Zanoli, Raffaele (2014) A DSS to improve inspection procedures in organic certification. Evidence from an Italian case study. Frontiers in artificial intelligence and Applications, IOS press, 261, pp. 441-446.

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Summary

Inspections in organic farming systems are the key tool to assure reliability of the organic business and detection of non-compliant operators. Supporting control bodies in the inspection procedure can increase the efficiency and competitiveness of the sector. Here we propose a decision support system for inspections based on Bayesian networks. Our model is based on statistical information taken from the archives of main Italian control body, and considers decision strategies according to the maximization of expected utility based on risk minimization.


EPrint Type:Journal paper
Keywords:Decision networks, certification in the organic sector, risk assessment
Subjects: Values, standards and certification
Values, standards and certification > Regulation
Research affiliation: European Union > CertCost
Italy > Univ. Politecnica delle Marche (prev. Univ. Ancona)
FP7 Grant Agreement Number:207727
ISSN:09226389
ISBN:978-161499398-8
DOI:0.3233/978-1-61499-399-5-441
Deposited By: Solfanelli, Dr. Francesco
ID Code:27762
Deposited On:14 Nov 2014 12:55
Last Modified:29 Dec 2014 16:09
Document Language:English
Status:Published
Refereed:Peer-reviewed and accepted

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