Non-destructive quality measurement and modelling in fruits

Ruiz-Altisent, Margarita; Barreiro Elorza, Pilar y Garcia, J.L. (1994). Non-destructive quality measurement and modelling in fruits. En: "5th International Conference on Physical Properties of Agricultural Materials", 06/09/1993-08/09/1993, Bonn, Alemania. ISBN ISSN 0236-8722.

Descripción

Título: Non-destructive quality measurement and modelling in fruits
Autor/es:
  • Ruiz-Altisent, Margarita
  • Barreiro Elorza, Pilar
  • Garcia, J.L.
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 5th International Conference on Physical Properties of Agricultural Materials
Fechas del Evento: 06/09/1993-08/09/1993
Lugar del Evento: Bonn, Alemania
Título del Libro: Proceedings of the 5th International Conference on Physical Properties of Agricultural Materials. Part III. Fruits, Vegetables and Root Crops, held in Bonn, Germany, 6-8 September 1993.
Fecha: 1994
ISBN: ISSN 0236-8722
Volumen: 8
Materias:
Palabras Clave Informales: fruit, quality, firmness, ripeness, colour.
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

A European Project entitled 'Quality of fruits: Engineering research for improving the quality preservation during pre- and postharvest operations' is being carried out by six European research Institutions. Relevant aspects of quality of fresh fruit in the European market are investigated. Firmness sensing of selected varieties of apples, pears and avocado fruits has been developed using a non-destructive impact technique. In addition to firmness measurements, postharvest ripeness of apples and pears was monitored by spectrophotometric reflectance measurements, and that of avocadoes by Hunter colour measurements. The data obtained from firmness sensing were analysed by three analytical procedures: Principal Components, Correlation, and Stepwise Discriminant Analysis. A new software was developed to control the impact test, analyse the data, and sort the fruit into specified classes, based on the criteria obtained from a training run. Similar procedures were used to analyse the reflectance and colour data. Both sensing systems were able to classify fruits with good accuracy. An automatized prototype of on-line classifier has been built.

Más información

ID de Registro: 5144
Identificador DC: http://oa.upm.es/5144/
Identificador OAI: oai:oa.upm.es:5144
URL Oficial: http://www.international-agrophysics.org/
Depositado por: Memoria Investigacion
Depositado el: 24 Nov 2010 08:59
Ultima Modificación: 20 Abr 2016 14:04
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