UAV image analysis for detecting rice seedling gaps and gap effect on grain yield
The spatial distribution of seedlings influences the structure and productivity of rice by impacting canopy light distribution, radiation use efficiency, and ultimately crop yield. This study proposes a novel approach utilizing high-resolution UAV images to detect seedling gaps, providing an alterna...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375524003575 |
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