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

This study introduces a novel machine learning methodology for predicting GlutoPeak test parameters from image data, leveraging AutoKeras and transfer learning. The GlutoPeak test is a tool used in the baking industry to evaluate the properties of flour, based on its gluten strength and elasticity. Our research aimed to devise an efficient and cost-effective technique for quantifying the gluten properties of wheat varieties.