Data/hora: 13/06/2024 07:59:42

Provedor de dados: | 21
País: | Germany
Título: | Un sistema di certificazione risk-based per i controlli  in agricoltura biologica: un’applicazione tramite  Bayesian networks
Autores: | Gambelli, Danilo; SOLFANELLI, FRANCESCO; Zanoli, Raffaele.
Data: | 2011
Ano: | 2011
Palavras-chave: | Values; Standards and certification Regulation.
Resumo: | 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 farms, support the idea that the current  risk categories used by control bodies in Italy are reasonable, but could be  recursively updated by using a Bayesian network model and incremental  inspection evidence.
Tipo: | Journal paper

Identificador:

http://orgprints.org/20099/1/REAA_PREPRINT.pdf

Gambelli, Danilo; SOLFANELLI, FRANCESCO and Zanoli, Raffaele   (2011) Un sistema di certificazione risk-based per i controlli in agricoltura biologica: un’applicazione tramite Bayesian networks.  [A risk-based certification system for inspections in organic farming: an analysis with Bayesian networks.]  Rivista di Economia Agro-Alimentare, 3, pp. 20-40.

Relação: | http://orgprints.org/20099/
Formato: | application/pdf