Neural bruise prediction models for fruit handling and machinery evaluation

Barreiro Elorza, Pilar and Steinmetz, V. and Ruiz-Altisent, Margarita (1997). Neural bruise prediction models for fruit handling and machinery evaluation. "Computers and Electronics in Agriculture", v. 18 (n. 2-3); pp. 91-103. ISSN 0168-1699. https://doi.org/10.1016/S0168-1699(97)00022-7.

Description

Title: Neural bruise prediction models for fruit handling and machinery evaluation
Author/s:
  • Barreiro Elorza, Pilar
  • Steinmetz, V.
  • Ruiz-Altisent, Margarita
Item Type: Article
Título de Revista/Publicación: Computers and Electronics in Agriculture
Date: August 1997
ISSN: 0168-1699
Volume: 18
Subjects:
Freetext Keywords: Load sensors; Network models; Bruise simulation; Decision support system
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

Neural bruise prediction models based on the degree of fruit damage of the most traded fruit species and varieties were developed for prediction of the fruits to be accepted or rejected. The prediction relied on European Community standards. Different models for both quasi-static (compression) and dynamic (impact) loads covering the full commercial ripening period of fruits were developed. A simulation process was developed for gathering the information on laboratory bruise models and load sensor calibrations for different electronic devices (IS-100 and DEA-1, for impact and compression loads, respectively). An evaluation method was also designed for acquiring and gathering the information on the mechanical properties of fruits and the loading records of the electronic devices. The evaluation system allowed for determination of the current stage of fruit handling processes and machinery

More information

Item ID: 5019
DC Identifier: http://oa.upm.es/5019/
OAI Identifier: oai:oa.upm.es:5019
DOI: 10.1016/S0168-1699(97)00022-7
Official URL: http://www.sciencedirect.com/science/journal/01681699
Deposited by: Memoria Investigacion
Deposited on: 18 Nov 2010 12:21
Last Modified: 20 Apr 2016 14:00
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