Neural bruise prediction models for fruit handling and machinery evaluation

Barreiro Elorza, Pilar; Steinmetz, V. y 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.

Descripción

Título: Neural bruise prediction models for fruit handling and machinery evaluation
Autor/es:
  • Barreiro Elorza, Pilar
  • Steinmetz, V.
  • Ruiz-Altisent, Margarita
Tipo de Documento: Artículo
Título de Revista/Publicación: Computers and Electronics in Agriculture
Fecha: Agosto 1997
Volumen: 18
Materias:
Palabras Clave Informales: Load sensors; Network models; Bruise simulation; Decision support system
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

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Resumen

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

Más información

ID de Registro: 5019
Identificador DC: http://oa.upm.es/5019/
Identificador OAI: oai:oa.upm.es:5019
Identificador DOI: 10.1016/S0168-1699(97)00022-7
URL Oficial: http://www.sciencedirect.com/science/journal/01681699
Depositado por: Memoria Investigacion
Depositado el: 18 Nov 2010 12:21
Ultima Modificación: 20 Abr 2016 14:00
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