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International Journal of Forest Engineering Volume 32, 2021 - Issue 1
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Research Article

Data augmentation using image-to-image translation for detecting forest strip roads based on deep learning

Kengo UsuiForest Research and Management Organization, Forestry and Forest Products Research Institute, Tsukuba, JapanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3076-8534View further author information
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Pages 57-66 | Received 30 Mar 2020, Accepted 29 Sep 2020, Published online: 20 Oct 2020

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Vasiliki Dimou, Kostas Demertzis & Apostolos Kantartzis. (2023) Harvesting wind damaged trees: a study of prediction of windthrow damage in mixed-broadleaf stands via a machine learning model. International Journal of Forest Engineering 0:0, pages 1-15.
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Articles from other publishers (3)

Afonso E. Carvalho, João Filipe Ferreira & David Portugal. 2023. Intelligent Autonomous Systems 17. Intelligent Autonomous Systems 17 244 256 .
Kengo Usui. (2022) Innovative Harvesting, Transport, and Yarding Systems in Forestry木材の伐採 • 搬出のイノベーション. Material Cycles and Waste Management Research 33:2, pages 144-150.
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Ruibang Gong, Yuchen Wang, Junwen Cheng & Xiao Sun. (2021) Design of Online Health Monitoring System for Distribution Transformer Based on Deep Transfer Learning. Design of Online Health Monitoring System for Distribution Transformer Based on Deep Transfer Learning.

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