Modeling Psychrometric Data in Real-Time Fruit Logistics Monitoring

Ruiz García, Luis; Anand, Ankit; Barreiro Elorza, Pilar y Robla Villalba, José Ignacio (2008). Modeling Psychrometric Data in Real-Time Fruit Logistics Monitoring. En: "4th International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food-Chain. MODEL-IT, 2008", 09/06/2008-11/06/2008, Madrid, España. ISBN 978-90-66056-41-1.

Descripción

Título: Modeling Psychrometric Data in Real-Time Fruit Logistics Monitoring
Autor/es:
  • Ruiz García, Luis
  • Anand, Ankit
  • Barreiro Elorza, Pilar
  • Robla Villalba, José Ignacio
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 4th International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food-Chain. MODEL-IT, 2008
Fechas del Evento: 09/06/2008-11/06/2008
Lugar del Evento: Madrid, España
Título del Libro: Proceedings of the 4th International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food-Chain. MODEL-IT, 2008
Fecha: Diciembre 2008
ISBN: 978-90-66056-41-1
Materias:
Escuela: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Departamento: Ingeniería Rural [hasta 2014]
Grupo Investigación UPM: LPF-TAGRALIA
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 (211kB) | Vista Previa

Resumen

Progress in fruit logistics requires an increasing number of measurements to be performed in refrigerated chambers and during transport. Fruits and vegetables are submitted to a variety of risks during transport and storage that are responsible for material quality losses. Among them water loss and condensation are causes of deterioration that reduces the marketability of fresh fruits and vegetables. Wireless sensor networks (WSN) are a promising solution in monitoring food logistics. Instrumented with sensors, such as temperature and humidity, this technology allows on-line supply chain monitoring of perishable food products. Psychrometry studies the thermodynamic properties of moist air and the use of these properties to analyze conditions and processes involving moist air. Using the information provided by the sensors, psychrometric equations can be used for quick assessment of changes in the absolute water content of air, allowing estimation of future water loss and detection of condensation. In this paper the psychrometric data from ASABE (American Society of Agricultural and Biological Engineers) has been applied, for modeling evaporation and condensation of water related with regard to product in a refrigerated chamber. The experiments were conducted in a commercial wholesaler store in the fruit and vegetables wholesalers market of Madrid. Two different types of IEEE 802.15.4/ ZigBee motes have been used.

Más información

ID de Registro: 4648
Identificador DC: http://oa.upm.es/4648/
Identificador OAI: oai:oa.upm.es:4648
URL Oficial: http://www.actahort.org/books/802/802_51.htm
Depositado por: Memoria Investigacion
Depositado el: 21 Oct 2010 10:34
Ultima Modificación: 20 Abr 2016 13:47
  • 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