If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Prediction of board values in Pinus sylvestris sawlogs using X-ray scanning and optical three-dimensional scanning of stems

$61.74 plus tax (Refund Policy)

Buy Article:


As the sawmill industry strives towards customer orientation, the need for sorting of logs according to quality has been recognized, and automatic sorting based on measurements by three-dimensional (3D) optical log scanners has been implemented at sawmills. There is even a small number of sawmills using the X-ray log scanner for automatic log-sorting. At the log-sorting stage, the potential of the raw material to fulfil the needs has already been reduced by the decisions taken when the trees were bucked (cross-cut) into logs. Thus, the application of predictions of the boards' properties at the bucking stage is desirable. This study investigates the possibility of predicting board values from logs based on 3D scanning alone and 3D scanning in combination with X-ray scanning of stems. This study is based on 628 logs scanned by computed tomography that make up the Swedish Pine Stem Bank. Simulated sawing of the logs gave product values for each log. Prediction models on product value were adapted using partial least squares regression and x -variables derived from the properties of the logs and their original stems, measurable with a 3D log scanner and the X-ray LogScanner. The results were promising. Using a 3D scanner alone, R 2 was 0.68, and using a 3D scanner in combination with an X-ray LogScanner, R 2 was 0.72.

Keywords: 3D scanning; PLS; automatic grading; bucking; cross-cutting; log scanning; sawlogs; simulation

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/02827580410030172

Affiliations: Swedish Institute for Wood Technology Research, Skeria 2, SE-931 77, SkellefteƄ, Sweden

Publication date: October 1, 2004

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