Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network-Reference-Cited by-同舟云学术

Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network

Published:2018-01-31 Issue:2 Volume:8 Page:212
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Qiu Zhengjun,Chen Jian,Zhao Yiying,Zhu Susu,He Yong,Zhang Chu^ORCID

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

http://www.mdpi.com/2076-3417/8/2/212/pdf

Reference29 articles.

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2. Metabolite profiles of rice cultivars containing bacterial blight-resistant genes are distinctive from susceptible rice

3. Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds

4. Hyperspectral Image-Based Variety Discrimination of Maize Seeds by Using a Multi-Model Strategy Coupled with Unsupervised Joint Skewness-Based Wavelength Selection Algorithm

5. A Method for Rapid Identification of Rice Origin by Hyperspectral Imaging Technology

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