A Lightweight convolutional neural network for nicotine prediction in tobacco by near-infrared spectroscopy

A Lightweight convolutional neural network for nicotine prediction in tobacco by near-infrared spectroscopy

The content of nicotine, a critical component of tobacco, significantly influences the quality of tobacco leaves. Near-infrared (NIR) spectroscopy is a widely used technique for rapid, non-destructive, and environmentally friendly analysis of nicotine levels in tobacco. In this paper, we propose a n...

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Bibliographic Details
Main Authors: Di Wang, Fengyuan Zhao, Rui Wang, Junwei Guo, Cihai Zhang, Huimin Liu, Yongsheng Wang, Guohao Zong, Le Zhao, Weihua Feng
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Plant Science
Subjects:
tobacco
near-infrared spectroscopy
nicotine
lightweight
convolutional neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1138693/full

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