Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 495468
Title From sensor output to improved product quality
Author(s) Hertog, M.L.A.T.M.; Vollebregt, Martijntje; Unzueta, I.; Hoofman, R.J.O.M.; Lammertyn, J.
Source Acta Horticulturae 1091 (2015). - ISSN 0567-7572 - p. 165 - 174.
Event VI International Conference on Managing Quality in Chains, Cranfield, 2013-09-02/2013-09-05
DOI https://doi.org/10.17660/ActaHortic.2015.1091.20
Department(s) FBR Food Technology
Publication type Refereed Article in a scientific journal
Publication year 2015
Keyword(s) Chain monitoring - Logistics - Quality modeling - Wireless RFID sensor tags
Abstract

The research conducted in the European PASTEUR project focussed on perishables monitoring through smart tracking of lifetime and quality. The aim was to develop a wireless sensor platform to monitor the environmental conditions of perishable goods in the supply chain between producer and consumer. The sensor platform is based on an intelligent RFID package in which multiple sensor technologies are incorporated. By adding such devices to packaging solutions (crates, containers, boxes, etc.) one can guarantee a product's quality more effectively throughout the whole logistic chain. This project focussed on the low-end (e.g., fruit, vegetables) cold supply chain (cooled transport of goods), which eventually enables item management in the near future. Added intelligence comes from the addition of smart models that analyse the information stream from the sensors. By collecting and studying these data, optimization of logistic flows can be achieved resulting in reduction of food losses and thus preserve the environment. Three types of models are included to help evaluating the logistic cold chains. Statistical control models are implemented to check whether the logistic conditions stay within predefined bounds. Keeping quality models are implemented to provide dynamic information on 'best before dates'. Finally, detailed quality change models are implemented to evaluate the impact of the logistic conditions on specific quality attributes in more details. Together, the three types of models provide instruments for streamlining the logistic activities throughout the cold handling chain increasing efficiency and minimizing losses of e.g., fresh fruits and vegetables.

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