Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning-Reference-Cited by-同舟云学术

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Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning

Published:2020-07 Issue: Volume:113 Page:107170
ISSN:0956-7135
Container-title:Food Control
language:en
Short-container-title:Food Control

Author:

Van De Looverbosch Tim,Rahman Bhuiyan Md. Hafizur,Verboven Pieter,Dierick Manuel,Van Loo Denis,De Beenbouwer Jan,Sijbers Jan,Nicolaï Bart

Funder

Agentschap Innoveren & Ondernemen

Research Council of Norway

Publisher

Elsevier BV

Subject

Food Science,Biotechnology

Reference56 articles.

1. Inline discrete tomography system: Application to agricultural product inspection;Alves Pereira;Computers and Electronics in Agriculture,2017

2. Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review;Arendse;Journal of Food Engineering,2018

3. Iterative reconstruction methods in X-ray CT;Beister;Physica Medica,2012

4. Postharvest quality of apple predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance;Bobelyn;Postharvest Biology and Technology,2010

5. Applications of CT for dimensional metrology;Buratti,2018

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