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Scandinavian Journal of Forest Research Volume 19, 2004 - Issue 5
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Miscellany

Prediction of Board Values in Pinus sylvestris Sawlogs Using X-ray Scanning and Optical Three-dimensional Scanning of Stems

Urban Nordmark Sveaskog AB, Skellefteå Campus, Piteå, SE-941 86, Skeria 3; Luleå University of Technology, Division of Wood Technology, Skellefteå Campus, Skellefteå, SE-931 87, Skeria 3Correspondence[email protected]
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Johan Oja Luleå University of Technology, Division of Wood Technology, Skellefteå Campus, Skellefteå, SE-931 87, Skeria 3; Swedish Institute for Wood Technology Research, Skellefteå, SE-931 77, Skeria 2
Pages 473-480 | Received 05 Dec 2003, Accepted 18 May 2004, Published online: 21 May 2010

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Hannu Rummukainen, Marika Makkonen & Jori Uusitalo. (2021) Economic value of optical and X-ray CT scanning in bucking of Scots pine. Wood Material Science & Engineering 16:3, pages 178-187.
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Jori Uusitalo, Olli Ylhäisi, Hannu Rummukainen & Marika Makkonen. (2018) Predicting probability of A-quality lumber of Scots pine (Pinus sylvestris L.) prior to or concurrently with logging operation. Scandinavian Journal of Forest Research 33:5, pages 475-483.
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Julia K. Denzler, Andreas Weidenhiller & Michael Golser. (2015) Property relationships between spruce logs and structural timber. Scandinavian Journal of Forest Research 30:7, pages 617-623.
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Anders Lycken & Johan Oja. (2006) A multivariate approach to automatic grading of Pinus sylvestris sawn timber. Scandinavian Journal of Forest Research 21:2, pages 167-174.
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Articles from other publishers (3)

Kamran Forghani, Mats Carlsson, Pierre Flener, Magnus Fredriksson, Justin Pearson & Di Yuan. (2024) Maximizing value yield in wood industry through flexible sawing and product grading based on wane and log shape. Computers and Electronics in Agriculture 216, pages 108513.
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Jiri Pyörälä, Ville Kankare, Xinlian Liang, Ninni Saarinen, Juha Rikala, Veli-Pekka Kivinen, Marketta Sipi, Markus Holopainen, Juha Hyyppä & Mikko Vastaranta. (2019) Assessing log geometry and wood quality in standing timber using terrestrial laser-scanning point clouds. Forestry: An International Journal of Forest Research 92:2, pages 177-187.
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Jiri Pyorala, Xinlian Liang, Mikko Vastaranta, Ninni Saarinen, Ville Kankare, Yunsheng Wang, Markus Holopainen & Juha Hyyppa. (2018) Quantitative Assessment of Scots Pine ( Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11:10, pages 3598-3607.
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