Extracting leaf morphological traits within occluded lettuce canopies using instance segmentation and supervised conditional GAN
Precise measurement of leaf morphology in densely occluded canopies is critical for optimizing plant growth management and enhancing crop yield in agricultural systems. Leaf completion under occlusion is key to improving phenotypic measurement accuracy. Although RGB-based conditional generative adve...
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| Главные авторы: | , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2025-12-01
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| Серии: | Journal of Agriculture and Food Research |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2666154325008890 |
| Метки: |
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