Enhancing rice phenology identification by synergistic learning canopy optical signals and plant height dynamics
Accurate monitoring of rice phenological transitions plays a pivotal role in enhancing breeding efficiency and optimizing agronomic practices. Current spectral-based approaches frequently encounter limitations in detecting subtle growth stage boundaries within large-scale breeding programs, particul...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525002448 |
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