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https://dspace.ctu.edu.vn/jspui/handle/123456789/110461| Title: | MEDICINAL HERBS DETECTION SYSTEM |
| Other Titles: | HỆ THỐNG NHẬN DẠNG CÁC LOẠI DƯỢC LIỆU |
| Authors: | Nguyễn, Thái Nghe Mạc, Hồng Vũ |
| Keywords: | CÔNG NGHỆ THÔNG TIN - CHẤT LƯỢNG CAO |
| Issue Date: | 2024 |
| Publisher: | Trường Đại Học Cần Thơ |
| Abstract: | Developed an improved deep learning model based on CNN to recognize 9 common medicinal plants in Vietnam: aloevera, basil, bitter melon, daisy, garlic, ginger, lotus, mint, and rose. The model achieved an mAP score of 73.88% after training, demonstrating accurate recognition and localization of these objects. The model was deployed on Android smartphones. |
| Description: | 60 Tr |
| URI: | https://dspace.ctu.edu.vn/jspui/handle/123456789/110461 |
| Appears in Collections: | Trường Công nghệ Thông tin & Truyền thông |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| _file_ Restricted Access | 3.17 MB | Adobe PDF | ||
| Your IP: 216.73.216.100 |
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