Identification of sorghum genotypes using a machine vision system-Reference-Cited by-同舟云学术

Identification of sorghum genotypes using a machine vision system

Published:2021-03-05 Issue:5 Volume:44 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Eng

Author:

Nazari Leyla¹^ORCID,Shaker Mohammad²,Karimi Abdolhamid³,Ropelewska Ewa⁴^ORCID

Affiliation:

1. Crop and Horticultural Science Research Department Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO) Shiraz Iran

2. Agricultural Engineering Research Department Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO) Shiraz Iran

3. Department of Animal Science Research Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO) Shiraz Iran

4. Fruit and Vegetable Storage and Processing Department The National Institute of Horticultural Research Skierniewice Poland

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.13673

Reference34 articles.

1. Image Acquisition Systems

2. Rapid and nondestructive detection of sorghum adulteration using optimization algorithms and hyperspectral imaging;Bai Z.;Food Chemistry,2020

3. Sensory Characteristics of Grain Sorghum Hybrids with Potential for Use in Human Food

4. Evaluation of Texture and Shape Features for Classification of Four Paddy Varieties

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