Deep learning driven methodology for the prediction of mushroom moisture content using a novel LED-based portable hyperspectral imaging system

Deep learning driven methodology for the prediction of mushroom moisture content using a novel LED-based portable hyperspectral imaging system

This study proposes a deep-learning driven methodology for the analysis of mushroom moisture content (MC) datasets acquired using a novel portable hyperspectral imaging (HSI) system. One-dimensional convolutional neural network (1D-CNN) was developed and validated to process the raw HSI data of whit...

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Bibliographic Details
Main Authors: Kai Yang, Ming Zhao, Dimitrios Argyropoulos
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Smart Agricultural Technology
Subjects:
Portable hyperspectral imaging
LED lighting system
Mushroom moisture content
Convolutional neural network
Support vector machine regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524003514
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