RGB imaging-based detection of rice leaf blast spot and resistance evaluation at the canopy scale
Visual inspection of rice leaf blast resistance is time-consuming and labor-intensive with low accuracy. Therefore, this study aims to identify and detect rice leaf blast spots based on RGB imaging of rice canopy combined with mask regions with convolutional neural network (Mask-RCNN), and develop m...
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| Autori principali: | , , , , |
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| Natura: | Articolo |
| Lingua: | inglese |
| Pubblicazione: |
Zhejiang University Press
2021-08-01
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| Serie: | 浙江大学学报. 农业与生命科学版 |
| Soggetti: | |
| Accesso online: | https://www.academax.com/doi/10.3785/j.issn.1008-9209.2021.05.131 |
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