Predicting moisture content and density of Scots pine by microwave scanning of sawn timber

Computers and Electronics in Agriculture

Volumn 41, Issue 1-3, 2003, Pages 85-90

  Johansson, J ^a   Hagman, O ^a   Oja, J ^a,b  

^a LULEÅ UNIVERSITY OF TECHNOLOGY   (Sweden)

^b Swedish Institute for Wood Technology Research   (Sweden)

Author keywords

Density; Microwave scanning; Moisture content; Multivariate calibration

Indexed keywords

DENSITY (SPECIFIC GRAVITY); LEAST SQUARES APPROXIMATIONS; MOISTURE; NONDESTRUCTIVE EXAMINATION; REGRESSION ANALYSIS; SAWING; SENSORS; STRENGTH OF MATERIALS; WOOD;

MULTIVARIATE MODELS;

FORESTRY;

MOISTURE CONTENT; NONDESTRUCTIVE TESTING; TIMBER;

DENSITY; FORESTRY; MECHANICAL PROPERTIES; MOISTURE; NONDESTRUCTIVE TESTS; SAWING; WOOD;

PINUS SYLVESTRIS;

EID: 0242424380     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1699(03)00044-9     Document Type: Conference Paper

References (8)

1. Bolomey, J.-C., 1990. Microwave tomography: from theory to practical imaging systems. International Journal of Imaging Systems and Technology 2, 144-156.
2. Choffel, D., Goy, B., Martin, P., Gapp, D., 1992. Interaction between wood and microwaves-automatic grading application. In: Lindgren, O. (Ed.), First International Seminar on Scanning Technology and Image Processing on Wood. Luleå University, Skellefteå, Sweden, pp. 1-8.
3. Cottard, G., Bolomey, J.-C., Lhiaubet, C., Ciccotelli, J., Portala, J.F., 1992. On-line control in wood and paper industries by means of rapid microwave linear sensors. Twentysecond European Microwave Conference. Espoo, Topic 16.
4. Hagman, O., 1996. On reflections of wood. Ph.D. thesis, Luleå University of Technology, Doctoral thesis no.198D, pp. 68-70.
5. Kollman, F.F.P., Coté, W.A., 1968. Principles of Wood Science and Technology Solid Wood, vol. 1 (ISBN 3-540-04297-0). Springer, Berlin, pp. 292-375 (ISBN 3-540-04297-0).
6. Leicester, R.H., 1996. Microwave scanners in stress grading operations. Twenty-fifth Forest Products Research Conference. CSIRO division of forestry and forest products, Clayton, Vic., Australia.
7. Martens, H., Næs, T., 1989. Multivariate Calibration. Wiley, New York, pp. 22-163.
8. Wold, S., Antti, H., Lindgren, F., Öhman, J., 1998. Orthogonal signal correction of near-infrared spectra. Chemometrics and Intelligent Laboratory Systems 44, 175-185.