Classification of bread wheat varieties with a combination of deep learning approach
Author:
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/s00217-023-04375-x.pdf
Reference57 articles.
1. Unlersen MF et al (2022) CNN–SVM hybrid model for varietal classification of wheat based on bulk samples. Eur Food Res Technol 248(8):2043–2052
2. Malegori C et al (2018) GlutoPeak profile analysis for wheat classification: skipping the refinement process. J Cereal Sci 79:73–79
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. Delwiche SR, Massie DR (1996) Classification of wheat by visible and near-infrared reflectance from single kernels. Cereals and Grains Association
5. Romero JR et al (2013) Using classification algorithms for predicting durum wheat yield in the province of Buenos Aires. Comput Electron Agric 96:173–179
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2. Convolutional neural network-support vector machine-based approach for identification of wheat hybrids;European Food Research and Technology;2024-02-15
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