Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness

Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness

The potential of employing hyperspectral imaging (HSI) in the near-infrared (NIR) range (386.82−1,004.50 nm) for predicting the firmness of 'Fuji' apples cultivated in Aksu has been evaluated. The performance of seven preprocessing algorithms and two feature selection algorithms was evalua...

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Bibliographic Details
Main Authors: Shuiping Li, Yueyue Chen, Xiaobo Zhang, Junbo Wang, Xuanxiang Gao, Yunhong Jiang, Zhaojun Ban, Cunkun Chen
Format: Article
Language:English
Published: Maximum Academic Press 2025-01-01
Series:Food Innovation and Advances
Subjects:
non-destructive detection
deep learning
'fuji' apple
hyperspectral image
feature selection
Online Access:https://www.maxapress.com/article/doi/10.48130/fia-0025-0004
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https://www.maxapress.com/article/doi/10.48130/fia-0025-0004

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