Comparing Grade Classification Criteria for Automatic Sorting of Norway Spruce Saw Logs

$59.35 plus tax (Refund Policy)

Buy Article:


Grades of centre and side boards from 277 Norway spruce logs were combined to form binary response variables, here denoted as sorting criteria. Four different grading systems were tested. The log geometry variables unevenness, butt taper and top taper were used in logistic regression models. The classification accuracy ranged from 58 to 83%. The accuracy was higher for visual stress grade criteria than for more complex criteria such as the Nordic timber grading rules. The number of tested criteria and thus possible comparisons limited the ability to establish significant differences. The low associations between board grades within logs and between graders, highlight key issues when developing and improving automatic log sorting systems.


Document Type: Research Article


Affiliations: 1: Department of Forest Management and Products, The Swedish University of Agricultural Sciences, S-750 07 Uppsala, Sweden 2: Development of Value Added Products, Forintek Canada Corp., 319 rue Franquet, Sainte-Foy, Qc, G

Publication date: November 16, 2000

More about this publication?
Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more