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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10570415/ |
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