Online system for automatic tropical wood recognition

• Main Authors: Rosli, Nenny Ruthfalydia, Khairuddin, Uswah, Yusof, Rubiyah, Abdul Ghapar, Hafizza, Mohd. Khairuddin, Anis Salwa, Ahmad, Nor Azlin
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2019
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/85278/1/NennyRuthfalydiaRosli2019_OnlineSystemforAutomaticTropicalWood.pdf; http://eprints.utm.my/id/eprint/85278/; https://elektrika.utm.my/index.php/ELEKTRIKA_Journal/article/view/188/

There are more than 3000 wood species in tropical rainforests, each with their own unique wood anatomy that can be observed using naked eyes aided with a hand glass magnifier for species identification process. However, the number of certified personnel that have this acquired skills are limited due...