Species & Defect Detection
​Click below to explore a variety of videos and articles related to Species & Defect Detection
An Explanation of the NHLA Lumber Grades
Hardwood Grading - Quebec Wood Export Business
Hardwood Identification
How to Identify Hardwoods and Softwoods
What Kind of Wood Should Your Build With?
Lumber Defect Scanner
Wood Defects
What is the Difference Between Hardwood and Softwood?
Wood Identification Guide
Identification of Common North American Woods
Understanding and Working with Wood Defects
Dealing with Wood Defects
Douglas Fir: Exceptionally Strong & Abundant
Identifying Wood is Hard
What is the Difference Between Red Oak and White Oak
How to Recognize Different Wood Species & a Guide to 6 of the Most Common Types
New Tech can Automatically Identify & Separate Wood Species
Understanding & Working with Wood Defects
American Beech
American Chestnut
American Elm
Andiroba
Apitong
Bamboo
Balsam Fir
Black Gum
Black Locust
Black Walnut
Bubinga (African Rosewood)
Butternut
California Black Oak
Chenchen
Cherry
Cocobolo
Coigue
Copaia
Cypress
Dawn Redwood
Douglas Fir
Eastern Red Cedar
European Beech
Giant Chinkapin
Hackberry
Hard Maple
Hickory
Holly
Ipe
Jack Pine
Jarrah
Karelian Birch
Koa
Lacewood
Limba
Lodgepole Pine
Longleaf Pine
Mappa Burl
Mesquite
Osage Orange
Pacific Coast Maple
Pacific Yew
Paldao
Philippine Mahogany
Radiata Pine
Red Alder
Red Grandis
Red Oak
Red Pine
Redwood
Rock Elm
Rubberwood
Santos Mahogany
Santos Rosewood
Southern Yellow Pine
Sweetgum
Wenge
Western Juniper
Western Spruces: Engelmann and Sitka
White Ash
White Cedar
White Oak
Yellow Poplar
Zebrawood
Ziricote
NWFA Wood Species Technical Publication 2023
Basic Guide to Identification of Hardwoods and Softwoods using Anatomical Characteristics
Wood Species Guide
Wood Identification for Hardwood and Softwood Species Native to Tennessee
Defect Detection and Quality Assessment of Hardwood Logs
Defect Detection on Hardwood Logs Using Laser Scanning
Detection Capabilities of Automated Hardwood Lumber Defect Detection Systems
An Interactive Machine-Learning Approach for Defect Detection in Computed Tomography (CT) Images of Hardwood Logs
USDA: Wood as an Engineering Material
Demonstrating the Sustainability of US Hardwood Products