Fast Identification of Soybean Seed Varieties Using Laser-Induced Breakdown Spectroscopy Combined With Convolutional Neural Network

Fast Identification of Soybean Seed Varieties Using Laser-Induced Breakdown Spectroscopy Combined With Convolutional Neural Network

Soybean seed purity is a critical factor in agricultural products, standardization of seed quality, and food processing. In this study, laser-induced breakdown spectroscopy (LIBS) as an effective technology was successfully used to identify ten varieties of soybean seeds. We improved the traditional...

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Bibliographic Details
Main Authors: Xiaolong Li, Zhenni He, Fei Liu, Rongqin Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Plant Science
Subjects:
soybean seed
variety identification
laser-induced breakdown spectroscopy
convolutional neural network
voting strategy
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2021.714557/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2021.714557/full

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