Precise Spatial Prediction of Rice Seedlings From Large-Scale Airborne Remote Sensing Data Using Optimized Li-YOLOv9
Rice is pivotal in global food security and Rice seeding detection in precision agriculture is essential for optimizing crop productivity and efficient resource use. Currently, the spatial distribution and detection of rice seeding are manually done, which is time-consuming. As technology advances,...
| Автори: | , , , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
IEEE
2025-01-01
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| Серія: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/10767286/ |