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 in the original language of the document
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 > 7th Framework Programme > CertCost Italy > Univ. Politecnica delle Marche (prev. Univ. Ancona) |
| Horizon Europe or H2020 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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