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| Gambelli, Danilo; SOLFANELLI, FRANCESCO; Zanoli, Raffaele. |
| Risk-based inspection system for the organic certification: a bayesian networks approach. The existing method of certification in organic agriculture system, which requires a periodical inspection for all the operators, is inefficient due to the high cost of these controls. A risk based decision support system, that could assist the inspection body during the planning of the annual inspection visits, is advocated to be more cost-effective and efficient. The risk based decision support system is constructed as a Bayesian network; the models incorporate the factors that influence risk of irregularity and analyse their effects by determining probability of non-compliance. Empirical findings using a sample of Italian data on inspection of organic... |
| Tipo: Journal paper |
Palavras-chave: Values; Standards and certification Regulation. |
| Ano: 2011 |
URL: http://orgprints.org/20099/1/REAA_PREPRINT.pdf |
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| GAMBELLI, DANILO; SOLFANELLI, FRANCESCO. |
| Organic certification costs represent an important competitive disadvantage for organic farming. A proportion of the higher costs of organic products may result from the costs of certification along the entire supply chain. A reduction of such transaction costs provides a basis for a general increase in organic farms competitiveness. In this paper we present a model based on Bayesian Networks (BN) for the support of certification bodies in the phase of inspection planning. BNs are probabilistic models with a graphical interface, representing a network of a set of interconnected random variables, and provide a basis for influence diagrams based on conditional probabilities computations. The model implements a BN approach using risk factors – such as crop... |
| Tipo: Conference paper, poster, etc. |
Palavras-chave: Values; Standards and certification. |
| Ano: 2009 |
URL: http://orgprints.org/17105/1/Paper_Grabit_Palermo.pdf |
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