Spatial temperature profiling by semi-passive RFID loggers for perishable food transportation

Jedermann, Reiner; Ruiz García, Luis y Lang, Walter (2009). Spatial temperature profiling by semi-passive RFID loggers for perishable food transportation. "Computers and Electronics in Agriculture", v. 65 (n. 2); pp. 145-154. ISSN 0168-1699. https://doi.org/10.1016/j.compag.2008.08.006.

Descripción

Título: Spatial temperature profiling by semi-passive RFID loggers for perishable food transportation
Autor/es:
  • Jedermann, Reiner
  • Ruiz García, Luis
  • Lang, Walter
Tipo de Documento: Artículo
Título de Revista/Publicación: Computers and Electronics in Agriculture
Fecha: Marzo 2009
Volumen: 65
Materias:
Escuela: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Departamento: Ingeniería Rural [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (1MB) | Vista Previa

Resumen

Perishable food products are at risk of suffering various damages along the cold chain. The parties involved should control and monitor the conditions of goods in order to ensure their quality for consumers and to comply with all legal requirements. Among environmental parameters during transport, temperature is the most important in prolonging the shelf life of the products. Radio Frequency IDentification (RFID) is an emergent technology that has proven its suitability for tracking and tracing in logistics. This paper shows how miniaturized RFID temperature loggers can be adapted to analyze the amount of local deviations, detect temperature gradients, and estimate the minimum number of sensors that are necessary for reliable monitoring inside a truck or container. These devices are useful tools for improving the control during the transport chain and detecting weaknesses by identifying specific problem areas where corrective actions are necessitated. In a first step, the RFID tags were tested by studying the temperature distribution in a pallet. Then, 15 shipments from a wholesale company in Germany in compartmented trucks were monitored, covering different temperature range conditions. During transport, several temperature differences were found in the same compartment. Using a factorial Analysis of Variance (ANOVA) the influence of different factors has been studied, such as: the location of the logger, type of truck, and external temperature. The shelf life, or keeping quality model, was applied to the recorded temperature profiles. Suggestions for future research areas are also discussed.

Más información

ID de Registro: 5314
Identificador DC: http://oa.upm.es/5314/
Identificador OAI: oai:oa.upm.es:5314
Identificador DOI: 10.1016/j.compag.2008.08.006
URL Oficial: http://www.sciencedirect.com/science/journal/01681699
Depositado por: Memoria Investigacion
Depositado el: 30 Nov 2010 10:26
Ultima Modificación: 20 Abr 2016 14:09
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM