Detection and Classification of Cannabis Seeds Using RetinaNet and Faster R-CNN
The rapid growth of the cannabis industry necessitates accurate and efficient methods for detecting and classifying cannabis seed varieties, which is crucial for quality control, regulatory compliance, and genetic research. This study presents a deep learning approach to automate the detection and c...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2024-08-01
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| Collection: | Seeds |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2674-1024/3/3/31 |
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