Hyperspectral RGB Imaging Combined With Deep Learning for Maize Seed Variety Identification

Hyperspectral RGB Imaging Combined With Deep Learning for Maize Seed Variety Identification

Variety purity is an essential indicator in seed quality detection. Thus, it is necessary to rapidly and non-destructively detect the seed purity. Unlike traditional methods for processing hyperspectral data, this study focuses on computer vision. It aims to reconstruct RGB images from hyperspectral...

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Bibliographic Details
Main Authors: Jian Li, Fan Xu, Shaozhong Song, Qi Ji, Junling Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Hyperspectral imaging
computer vision
variety identification
corn seeds
Online Access:https://ieeexplore.ieee.org/document/10570415/
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https://ieeexplore.ieee.org/document/10570415/

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