2020
DOI: 10.1080/17480272.2020.1768143
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Estimating wood moisture by near infrared spectroscopy: Testing acquisition methods and wood surfaces qualities

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Cited by 25 publications
(9 citation statements)
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“…Several contradictory results have been found in the literature. For instance, some authors reported that samples with greater roughness captures more information about the material compared to smooth surfaced specimens that has weak diffuse reflection with less information (Costa et al 2018; dos Santos et al 2020). Others have found the NIR predictive models based on the smooth surface to be superior compared to their counterparts (Schimleck et al 2005a; Liu et al 2006).…”
Section: Resultsmentioning
confidence: 99%
“…Several contradictory results have been found in the literature. For instance, some authors reported that samples with greater roughness captures more information about the material compared to smooth surfaced specimens that has weak diffuse reflection with less information (Costa et al 2018; dos Santos et al 2020). Others have found the NIR predictive models based on the smooth surface to be superior compared to their counterparts (Schimleck et al 2005a; Liu et al 2006).…”
Section: Resultsmentioning
confidence: 99%
“…The Near-infrared radiation (NIR) method permeates deeper into the specimen than Mid-IR. Santos et al (2020) has investigated the influence of integrating sphere or fiber optic probe and the exterior specimen condition on the NIR spectra for moisture assessment in timber. Tsuchikawa et al (2017) examined online NIR spectroscopic system for speedy moisture evaluation of veneer at 120 m/min and sufficient prediction accuracy.…”
Section: Ir Optical Methodsmentioning
confidence: 99%
“…For example, IR spectroscopy is used to evaluate the content of lignine and phenolic compounds in the wood [ 105 , 106 ]. Today, NIR spectroscopy is also used for the evaluation of a sample’s humidity [ 107 ]. Using IR spectroscopy and the corresponding mathematical simulators, it is possible to evaluate the wood density based on the ratio between cellulose, lignine, and other wood components [ 108 ].…”
Section: Practical Application Of Various Types Of Ir and Raman Spect...mentioning
confidence: 99%