Detection and Classification of Root and Butt-Rot (RBR) in Stumps of Norway Spruce Using RGB Images and Machine Learning

Detection and Classification of Root and Butt-Rot (RBR) in Stumps of Norway Spruce Using RGB Images and Machine Learning

Root and butt-rot (RBR) has a significant impact on both the material and economic outcome of timber harvesting, and therewith on the individual forest owner and collectively on the forest and wood processing industries. An accurate recording of the presence of RBR during timber harvesting would ena...

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Bibliografiska uppgifter
Huvudupphovsmän: Ahmad Ostovar, Bruce Talbot, Stefano Puliti, Rasmus Astrup, Ola Ringdahl
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2019-04-01
Serie:Sensors
Ämnen:
deep learning
forest harvesting
tree stumps
automatic detection and classification
Länkar:https://www.mdpi.com/1424-8220/19/7/1579

Internet

https://www.mdpi.com/1424-8220/19/7/1579

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