Abstract
Information about current quality state enables large improvements in the dynamic planning for the logistics of fresh products. The main reason for quality losses are temperature deviations. This article investigates how a prediction system that delivers a shelf life prediction at each transhipment point could be integrated into a semi-passive RFID label. Limiting factors for the possible predictions accuracy like model tolerances and the bound processing resources of low-power microcontrollers will be evaluated.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M.C.N. Nunes, J.P. Emond, K.V. Chau, M. Rauth, S. Dea, and W. Pelletier. Effects of in-store conditions on the quality of fresh fruits and vegetables. Research report to Publix Super Markets. Food Science and Human Nutrition: University of Florida 262 pages, 2006
W. Pelletier, J.P. Emond and K.V. Chau. Effects of post harvest temperature regimes on quality of strawberries. Report 1 (2006). University of Florida. 48 pages 2006.
J.P. Emond, B. Hardgrave. Quantifying RFID’s Cold Chain Benefits. In: Fifth RFID Academic Convocation. Orlando, Florida, April 30th, 2007
M.C.N. Nunes, J.P. Emond, J.K. Brecht. Quality curves for highbush blueberries as a function of the storage temperature. Small Fruits 3:423–440, 2004
R. Jedermann and W. Lang. Semi-passive RFID and beyond – steps towards automated quality tracing in the food chain. International Journal of Radio Frequency Identification Technology and Applications IJRFITA in Press
R. Jedermann, R. Schouten, A. Sklorz, W. Lang, and O. van Kooten. Linking keeping quality models and sensor systems to an autonomous transport supervision system. In J. Kreyenschmidt and B. Petersen, editors, Cold Chain Management – 2nd international Workshop, Bonn, 8.–9. May 2006, University Bonn, 3–18, 2006
L.M.M., Tijskens, J.J. Polderdijk. A generic model for keeping quality of vegetable produce during storage and distribution. Agricultural Systems, 51(4):431–452, 2006
E. Bobelyn, M.L.A.T.M. Hertog, and B.M. Nicolaï. Applicability of an enzymatic time temperature integrator as a quality indicator for mushrooms in the distribution chain. Postharvest Biology and Technology, 42(1):104–114, 2006
M.C.N. Nunes, J.P. Emond, J.K. Brecht. Quality of strawberries as affected by temperature abuse during ground, in-flight and retail handling operations. Acta Hort. 604:239–246, 2003
S.E. Zweig. Advances in vaccine stability monitoring technology. Vaccine, 24(33–34):5977–5985, 2006
W. Roberts and J. Cox. Proposal for Standardized Core Functionality in Digital Time-Temperature Monitoring SAL Devices. White Paper by the Temperature Tracking Work Group of the SAL Consortium (Sealed Air Corporation, Cox Technologies), 2003
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jedermann, R., Emond, JP., Lang, W. (2008). Shelf Life Prediction by Intelligent RFID – Technical Limits of Model Accuracy. In: Kreowski, HJ., Scholz-Reiter, B., Haasis, HD. (eds) Dynamics in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76862-3_22
Download citation
DOI: https://doi.org/10.1007/978-3-540-76862-3_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76861-6
Online ISBN: 978-3-540-76862-3
eBook Packages: EngineeringEngineering (R0)