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Published in 2022 at "Food chemistry"
DOI: 10.1016/j.foodchem.2022.132832
Abstract: An artificial intelligence-based method to rapidly detect adulterated lentil flour in real time is presented. Mathematical models based on convolutional neural networks and transfer learning (viz., ResNet34) have been trained to identify lentil flour samples…
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Keywords:
trace levels;
lentil flour;
classification;
flour samples ... See more keywords