Rapid and Accurate Varieties Classification of Different Crop Seeds Under Sample-Limited Condition Based on Hyperspectral Imaging and Deep Transfer Learning

Rapid and Accurate Varieties Classification of Different Crop Seeds Under Sample-Limited Condition Based on Hyperspectral Imaging and Deep Transfer Learning

Rapid varieties classification of crop seeds is significant for breeders to screen out seeds with specific traits and market regulators to detect seed purity. However, collecting high-quality, large-scale samples takes high costs in some cases, making it difficult to build an accurate classification...

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Bibliographic Details
Main Authors: Na Wu, Fei Liu, Fanjia Meng, Mu Li, Chu Zhang, Yong He
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
crop seeds
hyperspectral imaging
classification model
spectroscopic analysis
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2021.696292/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2021.696292/full

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