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Title: Predicting internal red oak (Quercus rubra) log defect features using surface defect defect measurements

Author: Thomas, R. Edward.;

Date: 2013

Source: In: Miller, Gary W.; Schuler, Thomas M.; Gottschalk, Kurt W.; Brooks, John R.; Grushecky, Shawn T.; Spong, Ben D.; Rentch, James S., eds. Proceedings, 18th Central Hardwood Forest Conference; 2012 March 26-28; Morgantown, WV; Gen. Tech. Rep. NRS-P-117. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station: 313-324.

Publication Series: Paper (invited, offered, keynote)

   Note: This article is part of a larger document. View the larger document

Description: Determining the defects located within a log is crucial to understanding the tree/log resource for efficient processing. However, existing means of doing this non-destructively requires the use of expensive x-ray/CT (computerized tomography), MRI (magnetic resonance imaging), or microwave technology. These methods do not lend themselves to fast, efficient, and cost-effective analysis of logs and tree stems in the mill. This study quantified the relationship between external defect indicators and internal defect characteristics for red oak logs. A series of models was developed to predict internal features using visible external features: surface indicator width, length, rise, and log diameter. Good correlations and small prediction errors were observed with sound (sawn), overgrown, and unsound knot defects. For less severe defects such as adventitious buds/clusters and distortion-type defects, weaker correlations were observed, but the magnitude of prediction errors was small and acceptable.

Publication Notes:

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Citation:


Thomas, R. Edward. 2013. Predicting internal red oak (Quercus rubra) log defect features using surface defect defect measurements. In: Miller, Gary W.; Schuler, Thomas M.; Gottschalk, Kurt W.; Brooks, John R.; Grushecky, Shawn T.; Spong, Ben D.; Rentch, James S., eds. Proceedings, 18th Central Hardwood Forest Conference; 2012 March 26-28; Morgantown, WV; Gen. Tech. Rep. NRS-P-117. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station: 313-324.

 


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