Real-Time KenalKayu System with YOLOv3
An automated tropical wood species recognition system known as KenalKayu has been developed by the Centre for Artificial Intelligence & Robotics (CAIRO) to identify the tropical wood species. The system works very well in offline mode with an accuracy rate of up to 98. But when it comes to real-...
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Main Authors: | Rosli, N.R., Khairuddin, U., Fathi, M.F.N., Khairuddin, A.S.M., Ahmad, A. |
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Format: | Article |
Published: |
Springer Science and Business Media Deutschland GmbH
2021
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Online Access: | http://eprints.um.edu.my/35905/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104453117&doi=10.1007%2f978-3-030-70917-4_22&partnerID=40&md5=7333c1a5daaddb082e0b698d9f3cc1af |
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