Machine learning approach in predicting GlutoPeak test parameters from image data with AutoML and transfer learning

Author:

Murai TakehiroORCID,Inoue YoshitakaORCID,Nambirige Assey,Annor George A.

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference24 articles.

1. Optimization of gluten peak tester: a statistical approach: optimization of gluten peak tester;Chandi;J. Food Qual.,2012

2. Evaluation of GlutoPeak test for prediction of bread wheat flour quality, rheological properties and baking performance;Güçbilmez;J. Cereal. Sci.,2019

3. Prediction of bread wheat baking quality using an optimized GlutoPeak® -test method;Bouachra;J. Cereal. Sci.,2017

4. Artificial neural networks in agriculture;Kujawa;Agriculture,2021

5. The classification of wheat species based on deep convolutional neural networks using scanning Electron microscope (SEM) imaging;Anagun;Eur. Food Res. Technol.,2023

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