Non-destructive seed detection in mandarins: comparison of automatic threshold methods FLASH and COMSPIRA MRIs

Barreiro Elorza, Pilar, Zheng, Cui, Sun, Da-Wen, Hernández Sánchez, Natalia, Pérez-Sánchez, J.M. and Ruiz Cabello Osuna, Jesus Maria (2008). Non-destructive seed detection in mandarins: comparison of automatic threshold methods FLASH and COMSPIRA MRIs. "Postharvest Biology and Technology", v. 47 (n. 2); pp. 189-198. ISSN 0925-5214. https://doi.org/10.1016/j.postharvbio.2007.07.008.

Description

Title: Non-destructive seed detection in mandarins: comparison of automatic threshold methods FLASH and COMSPIRA MRIs
Author/s:
  • Barreiro Elorza, Pilar
  • Zheng, Cui
  • Sun, Da-Wen
  • Hernández Sánchez, Natalia
  • Pérez-Sánchez, J.M.
  • Ruiz Cabello Osuna, Jesus Maria
Item Type: Article
Título de Revista/Publicación: Postharvest Biology and Technology
Date: February 2008
ISSN: 0925-5214
Volume: 47
Subjects:
Freetext Keywords: Dimensional measurement; Fruit; Grading; Machine vision; Postharvest; Size; Sorter; Volume.
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

Here, we review different methods for non-destructive horticultural produce size determination, focusing on electronic technologies capable of measuring fruit volume. The usefulness of produce size estimation is justified and a comprehensive classification system of the existing electronic techniques to determine dimensional size is proposed. The different systems identified are compared in terms of their versatility, precision and throughput. There is general agreement in considering that online measurement of axes, perimeter and projected area has now been achieved. Nevertheless, rapid and accurate volume determination of irregular-shaped produce, as needed for density sorting, has only become available in the past few years. An important application of density measurement is soluble solids content (SSC) sorting. If the range of SSC in the batch is narrow and a large number of classes are desired, accurate volume determination becomes important. A good alternative for fruit three-dimensional surface reconstruction, from which volume and surface area can be computed, is the combination of height profiles from a range sensor with a two-dimensional object image boundary from a solid-state camera (brightness image) or from the range sensor itself (intensity image). However, one of the most promising technologies in this field is 3-D multispectral scanning, which combines multispectral data with 3-D surface reconstruction.

More information

Item ID: 2151
DC Identifier: https://oa.upm.es/2151/
OAI Identifier: oai:oa.upm.es:2151
DOI: 10.1016/j.postharvbio.2007.07.008
Official URL: http://www.sciencedirect.com/science/article/pii/S...
Deposited by: Memoria Investigacion
Deposited on: 04 Feb 2010 11:29
Last Modified: 17 Jan 2017 09:28
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