Deep Learning and Hyperspectral Images Based Tomato Soluble Solids Content and Firmness Estimation

Deep Learning and Hyperspectral Images Based Tomato Soluble Solids Content and Firmness Estimation

Cherry tomato (Solanum lycopersicum) is popular with consumers over the world due to its special flavor. Soluble solids content (SSC) and firmness are two key metrics for evaluating the product qualities. In this work, we develop non-destructive testing techniques for SSC and fruit firmness based on...

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Bibliographic Details
Main Authors: Yun Xiang, Qijun Chen, Zhongjing Su, Lu Zhang, Zuohui Chen, Guozhi Zhou, Zhuping Yao, Qi Xuan, Yuan Cheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Plant Science
Subjects:
hyperspectral imaging
deep learning
cherry tomato
soluble solids content
firmness
one-dimensional convolutional neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.860656/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.860656/full

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