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

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

The feasibility of using hyperspectral imaging with convolutional neural network (CNN) to identify rice seed varieties was studied. Hyperspectral images of 4 rice seed varieties at two different spectral ranges (380–1030 nm and 874–1734 nm) were acquired. The spectral data at the ranges of 441–948 n...

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Bibliographic Details
Main Authors: Zhengjun Qiu, Jian Chen, Yiying Zhao, Susu Zhu, Yong He, Chu Zhang
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Applied Sciences
Subjects:
hyperspectral imaging
variety identification
rice seed
convolutional neural network
Online Access:http://www.mdpi.com/2076-3417/8/2/212

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