Prediction of tannin, protein, and total phenolic content of grain sorghum using image analysis and machine learning-Reference-Cited by-同舟云学术

Prediction of tannin, protein, and total phenolic content of grain sorghum using image analysis and machine learning

Published:2022-03-14 Issue:4 Volume:99 Page:843-849
ISSN:0009-0352
Container-title:Cereal Chemistry
language:en
Short-container-title:Cereal Chem

Author:

Nazari Leyla¹^ORCID,Khazaei Azim²^ORCID,Ropelewska Ewa³^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. Seed and Plant Improvement Institute, Agricultural Research Education and Extension Organization (AREEO) Karaj Iran

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

Publisher

Wiley

Subject

Organic Chemistry,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cche.10542

Reference21 articles.

1. Antioxidant activity in a set of sorghum landraces and breeding lines;Alfieri M.;Maydica,2017

2. Decorticating Sorghum To Concentrate Healthy Phytochemicals

3. Sorghum phytochemicals and their potential impact on human health

4. Genotypic variation for seed protein and mineral content among post-rainy season-grown sorghum genotypes

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