Whole timber construction: A state of the art review
Forests worldwide are overstocked with small-diameter trees, putting them at increased risk
of disease, insect attack, and destructive high-intensity wildfires. This overstocking is caused …
of disease, insect attack, and destructive high-intensity wildfires. This overstocking is caused …
Recent advances in the application of deep learning methods to forestry
Y Wang, W Zhang, R Gao, Z Jin, X Wang - Wood science and technology, 2021 - Springer
This paper provides an overview and analysis of the basic theory of deep learning (DL), and
specifically, a number of important algorithms were compared and analyzed. The article …
specifically, a number of important algorithms were compared and analyzed. The article …
Accurate and automated detection of surface knots on sawn timbers using YOLO-V5 model
Y Fang, X Guo, K Chen, Z Zhou, Q Ye - BioResources, 2021 - search.proquest.com
Knot detection is a challenging problem for the wood industry. Traditional methodologies
depend heavily on the features selected manually and therefore were not always accurate …
depend heavily on the features selected manually and therefore were not always accurate …
Wood defects classification using laws texture energy measures and supervised learning approach
Abstract Machine vision based inspection systems are in great focus nowadays for quality
control applications. The proposed work presents a novel approach for classification of …
control applications. The proposed work presents a novel approach for classification of …
ODCA-YOLO: An omni-dynamic convolution coordinate attention-based YOLO for wood defect detection
R Wang, F Liang, B Wang, X Mou - Forests, 2023 - mdpi.com
Accurate detection of wood defects plays a crucial role in optimizing wood utilization,
minimizing corporate expenses, and safeguarding precious forest resources. To achieve …
minimizing corporate expenses, and safeguarding precious forest resources. To achieve …
[HTML][HTML] A method for generating finite element models of wood boards from X-ray computed tomography scans
A method is presented for reconstructing the geometry, the pith, the knots and the local fibre
orientations in timber boards, based on X-ray computed tomography scans. The local fibre …
orientations in timber boards, based on X-ray computed tomography scans. The local fibre …
A review of progress and applications in wood quality modelling
Abstract Purpose of Review Producing wood of the right quality is an important part of forest
management. In the same way that forest growth models are valuable decision support tools …
management. In the same way that forest growth models are valuable decision support tools …
RETRACTED: Artificial neural network for defect detection in CT images of wood
L Pan, R Rogulin, S Kondrashev - 2021 - Elsevier
After a thorough investigation, the Editors-in-Chief have concluded that the acceptance of
this article was partly based upon the positive advice of at least one illegitimate reviewer …
this article was partly based upon the positive advice of at least one illegitimate reviewer …
Review of the Current State of Application of Wood Defect Recognition Technology.
Y Chen, C Sun, Z Ren, B Na - BioResources, 2023 - search.ebscohost.com
Wood utilisation is an important factor affecting production costs, but the combined utilisation
rate of wood is generally only 50 to 70%. During the production process, the rejection …
rate of wood is generally only 50 to 70%. During the production process, the rejection …
The use of the first industrial X-ray CT scanner increases the lumber recovery value: case study on visually strength-graded Douglas-fir timber
A Rais, E Ursella, E Vicario, F Giudiceandrea - Annals of forest science, 2017 - Springer
Key message Industrial computed tomography scanning of logs provides detailed
information on timber quality prior to sawing. A sawing simulation—considering log rotation …
information on timber quality prior to sawing. A sawing simulation—considering log rotation …