Identification of milled rice varieties using machine vision-Reference-Cited by-同舟云学术

Identification of milled rice varieties using machine vision

Published:2022 Issue: Volume:42 Page:
ISSN:1678-457X
Container-title:Food Science and Technology
language:
Short-container-title:Food Sci. Technol

Author:

FAN Wenmin¹^ORCID,YANG Sen¹^ORCID

Affiliation:

1. Northeast Forestry University, China

Publisher

FapUNIFESP (SciELO)

Subject

Food Science,Biotechnology

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0101-20612022000101160&tlng=en

Reference24 articles.

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2. Discrimination of geographical origin of rice based on multi-element fingerprinting by high resolution inductively coupled plasma mass spectrometry;Cheajesadagul P.;Food Chemistry,2013

3. Colored rice quality inspection system using machine vision;Chen S.;Journal of Cereal Science,2019

4. Evaluation and analysis the chalkiness of connected rice kernels based on image processing technology and support vector machine;Cheng M. S.;Journal of Cereal Science,2014

5. Geographical traceability of “Arròs de Valencia” rice grain based on mineral element composition;Gonzálvez A.;Food Chemistry,2011

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1. Characterization of rice cultivars using Raman spectroscopy and multivariate analysis;Biocatalysis and Agricultural Biotechnology;2024-09

2. Recent Advances in Rice Milling Technology: Effect on Nutrient, Physical Properties and Digestibility;Food Reviews International;2023-10-26

3. Enhancing milled rice qualitative classification with machine learning techniques using morphological features of binary images;International Journal of Food Properties;2023-10-05