Data Augmentation Techniques for Machine Learning Applied to Optical Spectroscopy Datasets in Agrifood Applications: A Comprehensive Review

Machine learning (ML) and deep learning (DL) have achieved great success in different tasks. These include computer vision, image segmentation, natural language processing, predicting classification, evaluating time series, and predicting values based on a series of variables. As artificial intellig...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 23; no. 20; p. 8562
Main Authors:	Gracia Moisés, Ander, Vitoria Pascual, Ignacio, Imas González, José Javier, Ruiz Zamarreño, Carlos
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 18-10-2023 MDPI
Subjects:	agrifood industry Algorithms Artificial intelligence Back propagation Chemical compounds Computational linguistics Computer vision Computers data augmentation (DA) Datasets Deep learning Food Food quality generative adversarial networks (GANs) Image processing Language processing Machine learning Machine vision Natural language interfaces Olive oil optical spectroscopy Performance evaluation Radiation Review Spectrum analysis
Online Access:	Get full text
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