Spectroscopic Method for Detection of Soluble Solid Content in Cherry Tomato Using Deep Convolutional Generative Adversarial Network-Based Data Augmentation

Spectroscopic Method for Detection of Soluble Solid Content in Cherry Tomato Using Deep Convolutional Generative Adversarial Network-Based Data Augmentation

Considering insufficient sample numbers in the practical detection of soluble solid content (SSC) in cherry tomato, we proposed a deep convolutional generation adversarial network (DCGAN) model to expand spectral data and SSC label data, and established a one-dimensional convolutional neural network...

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Bibliographic Details
Main Author: WU Zhijing, LIU Fuqiang, LI Zhigang, CHEN Hui
Format: Article
Language:English
Published: China Food Publishing Company 2025-01-01
Series:Shipin Kexue
Subjects:
cherry tomatoes; soluble solids content; visible-near-infrared spectroscopy; deep convolutional generative adversarial networks; one-dimensional convolutional neural networks
Online Access:https://www.spkx.net.cn/fileup/1002-6630/PDF/2025-46-2-024.pdf
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https://www.spkx.net.cn/fileup/1002-6630/PDF/2025-46-2-024.pdf

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