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.
A decision network for inspections in organic farms in Italy / Gambelli, Danilo; Zanoli, Raffaele; Solfanelli, Francesco. - STAMPA. - 238:(2012), pp. 403-408. [10.3233/978-1-61499-073-4-403]
A decision network for inspections in organic farms in Italy
GAMBELLI, Danilo;ZANOLI, RAFFAELE;SOLFANELLI, FRANCESCO
2012-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
