Digging for gold: evaluating the authenticity of saffron (Crocus sativus L.) via deep learning optimization

Digging for gold: evaluating the authenticity of saffron (Crocus sativus L.) via deep learning optimization

IntroductionSaffron is one of the most coveted and one of the most tainted products in the global food market. A major challenge for the saffron industry is the difficulty to distinguish between adulterated and authentic dried saffron along the supply chain. Current approaches to analyzing the intri...

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Bibliographic Details
Main Authors: Ahmed Elaraby, Hussein Ali, Bin Zhou, Jorge M. Fonseca
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Horticulture
Subjects:
classification
Convolutional Neural Networks (CNN)
Deep Neural Networks (DNN)
red spices
saffron
Online Access:https://www.frontiersin.org/articles/10.3389/fhort.2023.1225683/full

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