Benchmarking analysis of CNN models for bread wheat varieties-Reference-Cited by-同舟云学术

Benchmarking analysis of CNN models for bread wheat varieties

Published:2022-11-16 Issue:3 Volume:249 Page:749-758
ISSN:1438-2377
Container-title:European Food Research and Technology
language:en
Short-container-title:Eur Food Res Technol

Author:

Yasar Ali^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Biochemistry,General Chemistry,Food Science,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s00217-022-04172-y.pdf

Reference45 articles.

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3. Sabanci K, Kayabasi A, Toktas A (2017) Computer vision-based method for classification of wheat grains using artificial neural network. J Sci Food Agric 97(8):2588–2593

4. Unlersen MF et al (2022) CNN–SVM hybrid model for varietal classification of wheat based on bulk samples. Europ Food Rese Technol 12:1–10

5. Vinogradov D, Evsenina M, Novikova A (2021) Improving the conditioning of wheat grain when preparing it for grinding into graded flour. IOP Conference Series: Earth and Environmental Science. IOP Publishing, Bristol

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