Modeling Psychrometric Data in Real-Time Fruit Logistics Monitoring

Ruiz García, Luis and Anand, Ankit and Barreiro Elorza, Pilar and Robla Villalba, José Ignacio (2008). Modeling Psychrometric Data in Real-Time Fruit Logistics Monitoring. In: "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.

Description

Title: Modeling Psychrometric Data in Real-Time Fruit Logistics Monitoring
Author/s:
  • Ruiz García, Luis
  • Anand, Ankit
  • Barreiro Elorza, Pilar
  • Robla Villalba, José Ignacio
Item Type: Presentation at Congress or Conference (Article)
Event Title: 4th International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food-Chain. MODEL-IT, 2008
Event Dates: 09/06/2008-11/06/2008
Event Location: Madrid, España
Title of Book: Proceedings of the 4th International Symposium on Applications of Modelling as an Innovative Technology in the Agri-Food-Chain. MODEL-IT, 2008
Date: December 2008
ISBN: 978-90-66056-41-1
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Ingeniería Rural [hasta 2014]
UPM's Research Group: LPF-TAGRALIA
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 4648
DC Identifier: http://oa.upm.es/4648/
OAI Identifier: oai:oa.upm.es:4648
Official URL: http://www.actahort.org/books/802/802_51.htm
Deposited by: Memoria Investigacion
Deposited on: 21 Oct 2010 10:34
Last Modified: 20 Apr 2016 13:47
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