Texto completo
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (983kB) | Vista Previa |
ORCID: https://orcid.org/0000-0003-4702-6059, Correa Hernando, Eva Cristina
ORCID: https://orcid.org/0000-0002-4508-5066, Riquelme Ballesteros, F. and Ruiz-Altisent, Margarita
ORCID: https://orcid.org/0000-0002-6350-0315
(2001).
Non destructive identification of wolly peache using impact response near infrared spectroscopy.
"Journal of Agricultural Engineering Research", v. 78
(n. 3);
pp. 281-289.
ISSN 0021-8634.
https://doi.org/10.1006/jaer.2000.0570.
| Título: | Non destructive identification of wolly peache using impact response near infrared spectroscopy |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Journal of Agricultural Engineering Research |
| Fecha: | Marzo 2001 |
| ISSN: | 0021-8634 |
| Volumen: | 78 |
| Número: | 3 |
| Materias: | |
| ODS: | |
| 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 |
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (983kB) | Vista Previa |
A procedure which combines impact response and near-infrared sensing in a two-step classification method has been developed for identification of woolly peaches. Two hundred and seventy Maycrest peaches from three ripeness stages at harvest, stored during 0, 1, 2, 3 and 4 weeks at 1 and 5°C, were tested by non-destructive techniques (non-destructive impact and near-infrared spectroscopy) in order to assess woolliness (also known as mealiness in apples). Destructive mechanical tests (Magness–Taylor, confined compression and shear rupture) were used as a reference method to identify woolly fruits. Non-destructive impact data were processed by discriminant analysis to segregate into two texture categories (crispy–firm–hard and non-crispy–non-firm–soft). In the same way, discriminant analysis techniques were used to classify into three juicy categories (low juicy, medium juicy and high juicy), according to the near-infrared second derivative curve. Combining non-destructive impact and near-infrared spectroscopy, not crispy, not firm and soft fruit from the low juicy group were classified as woolly. The percentage of correctly classified fruits in both categories was 80%. The conditions about the experimental factors which enhance woolliness obtained from the destructive procedures were confirmed by the non-destructive procedure.
| ID de Registro: | 6147 |
|---|---|
| Identificador DC: | https://oa.upm.es/6147/ |
| Identificador OAI: | oai:oa.upm.es:6147 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5478557 |
| Identificador DOI: | 10.1006/jaer.2000.0570 |
| URL Oficial: | http://www.sciencedirect.com/science/journal/00218... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 23 Feb 2011 12:42 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
Publicar en el Archivo Digital desde el Portal Científico