Quality Control Monitoring by using Artificial Neural Networks for an Iberian Ham Industry

J. A García-Esteban, Belén Curto, Vidal Moreno, Beatriz Martínez

Abstract

The iberian ham is a high valued product, due to this fact, it is very important to offer to the costumer a high quality food product and to ensure its organoleptic properties. Producers have to evaluate, periodically, its sensorial attributes by a professional tasting panel. Due to high elevated organizational and economics costs, in addition to, the sensory fatigue and the subjectivity of the panel members, only a few product lots are sampled. In this paper is proposed a cloud manufacturing based platform to monitor the quality of Iberian ham. The success of this solution is based on cooperation and data exchange between the main agents involved in the process: quality manager, professional tasters, production manager, inspection authorities, etc. Intelligent algorithms have been embedded into the cloud monitoring platform to predict the ham sensory properties, using the Near InfraRed Spectroscopy data from the product samples as input. The key feature of the solution is that the sensory analysis is performed without gathering routinely a professional tasting panel, but the solution also allows to the quality manager, with advanced visualization techniques, to monitor what is the merit figure related with a specific type of ham or shoulder. Another important aspect of the solution is that, due to the huge amount of data coming from the elaboration process itself are available is possible to fine-tune continuously the machine-learning algorithms to the particular producer and use them intelligently to increase the competitiveness.

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Paper Citation


in Harvard Style

Moreno V. (2018). Quality Control Monitoring by using Artificial Neural Networks for an Iberian Ham Industry.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-321-6, pages 628-635. DOI: 10.5220/0006911506280635


in Bibtex Style

@conference{icinco18,
author={Vidal Moreno},
title={Quality Control Monitoring by using Artificial Neural Networks for an Iberian Ham Industry},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2018},
pages={628-635},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006911506280635},
isbn={978-989-758-321-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Quality Control Monitoring by using Artificial Neural Networks for an Iberian Ham Industry
SN - 978-989-758-321-6
AU - Moreno V.
PY - 2018
SP - 628
EP - 635
DO - 10.5220/0006911506280635