A transfer residual neural network based on ResNet-34 for detection of wood knot defects
M Gao, D Qi, H Mu, J Chen - Forests, 2021 - mdpi.com
In recent years, due to the shortage of timber resources, it has become necessary to reduce
the excessive consumption of forest resources. Non-destructive testing technology can …
the excessive consumption of forest resources. Non-destructive testing technology can …
Image segmentation-a survey of soft computing approaches
N Senthilkumaran, R Rajesh - 2009 international conference on …, 2009 - ieeexplore.ieee.org
Soft computing is an emerging field that consists of complementary elements of fuzzy logic,
neural computing and evolutionary computation. Soft computing techniques have found …
neural computing and evolutionary computation. Soft computing techniques have found …
[图书][B] Nondestructive characterization and imaging of wood
V Bucur - 2003 - books.google.com
This book on the Nondestructive Characterization and Imaging of Wood by Professor
Voichita Bucur is truly the most outstanding reference on the subject ever written. Since the …
Voichita Bucur is truly the most outstanding reference on the subject ever written. Since the …
Estimating Crimean juniper tree height using nonlinear regression and artificial neural network models
R Özçelik, MJ Diamantopoulou… - Forest ecology and …, 2013 - Elsevier
Artificial neural network models offer a number of advantages including the ability to
implicitly detect complex nonlinear relationships between input and output variables, which …
implicitly detect complex nonlinear relationships between input and output variables, which …
Artificial neural networks as an alternative tool in pine bark volume estimation
MJ Diamantopoulou - Computers and electronics in agriculture, 2005 - Elsevier
The utilization of pine trees bark is receiving increasing attention. For management
purposes, it is very useful to be able to estimate bark volume quantity of standing trees. This …
purposes, it is very useful to be able to estimate bark volume quantity of standing trees. This …
A Novel Deep Convolutional Neural Network Based on ResNet‐18 and Transfer Learning for Detection of Wood Knot Defects
M Gao, P Song, F Wang, J Liu, A Mandelis… - Journal of …, 2021 - Wiley Online Library
Wood defects are quickly identified from an optical image based on deep learning
methodology, which effectively improves wood utilization. Traditional neural network …
methodology, which effectively improves wood utilization. Traditional neural network …
[PDF][PDF] Application of artificial neural networks in image recognition and classification of crop and weeds
CC Yang, SO Prasher, JA Landry… - Canadian agricultural …, 2000 - academia.edu
Eng. 42: 147-152. The objective of this study was to develop a backpropagation artificial
neural network (ANN) model that could distinguish young corn plants from weeds. Although …
neural network (ANN) model that could distinguish young corn plants from weeds. Although …
Automated grading and defect detection: A review.
DT Pham, RJ Alcock - Forest Products Journal, 1998 - search.ebscohost.com
In a plant that manufactures wood products, such as lumber, dimension stock, or veneer
sheets, inspection of the products is a necessary part of the production process. At present …
sheets, inspection of the products is a necessary part of the production process. At present …
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 …
Use of genetic artificial neural networks and spectral imaging for defect detection on cherries
D Guyer, X Yang - Computers and electronics in agriculture, 2000 - Elsevier
A machine vision system was created to identify different types of tissue characteristics on
cherries. It consists of an enhanced NIR range vidicon black and white camera (sensing …
cherries. It consists of an enhanced NIR range vidicon black and white camera (sensing …