Hyperspectral imaging-based classification of rice leaf blast severity over multiple growth stages
Abstract Background Rice blast, which is prevalent worldwide, represents a serious threat to harvested crop yield and quality. Hyperspectral imaging, an emerging technology used in plant disease research, is a stable, repeatable method for disease grading. Current methods for assessing disease sever...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
BMC
2022-11-01
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| Серія: | Plant Methods |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s13007-022-00955-2 |
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