A review of the application of near-infrared spectroscopy (NIRS) in forestry

Y Wang, J **ang, Y Tang, W Chen… - Applied Spectroscopy …, 2022 - Taylor & Francis
Forests play a key role in global ecosystem conservation and environmental maintenance.
Forestry, which includes plant active components, germplasm resources and vegetation …

interaction of water vapour with wood and other hygro-responsive materials

C Hill, M Altgen, P Penttilӓ, L Rautkari - Journal of Materials Science, 2024 - Springer
The purpose of this review is to report on the state-of-the-art on the interaction of moisture
with natural materials and fabricated biomimetic functional materials, with an emphasis upon …

Effect of wood surface roughness on prediction of structural timber properties by infrared spectroscopy using ANFIS, ANN and PLS regression

S Ayanleye, V Nasir, S Avramidis, J Cool - European Journal of Wood and …, 2021 - Springer
Predicting the properties of structural timber using a rapid and reliable non-destructive
method is a critical quality control task in production. This study investigates using infrared …

Efficiency of near-infrared spectroscopy in classifying Amazonian wood wastes for bioenergy generation

MDR Lima, PF Trugilho, L Bufalino, AFD Júnior… - Biomass and …, 2022 - Elsevier
Finding methods to classify heterogeneous logging wastes from sustainable forest
management in the Brazilian Amazonia is essential to increase the production and quality of …

Artificial neural network and partial least square regressions for rapid estimation of cellulose pulp dryness based on near infrared spectroscopic data

LR Costa, GHD Tonoli, FR Milagres, PRG Hein - Carbohydrate polymers, 2019 - Elsevier
The content of water in fiber suspension and affects pulp refining, bleaching and draining
operations. Cellulose pulp dryness estimate through near infrared (NIR) spectroscopy …

Classifying waste wood from Amazonian species by near-infrared spectroscopy (NIRS) to improve charcoal production

MDR Lima, FMG Ramalho, PF Trugilho, L Bufalino… - Renewable Energy, 2022 - Elsevier
Solutions to differentiate wood wastes in the storage yard of a charcoal production unit in
Amazonia, where identification is often mistaken due to broad morphological similarity of …

Estimating wood moisture by near infrared spectroscopy: Testing acquisition methods and wood surfaces qualities

LM dos Santos, EA Amaral, EM Nieri… - … Material Science & …, 2021 - Taylor & Francis
Moisture is one of the most important wood properties because its variation directly
influences the material strength and density. Thus, the aim of this study was to develop near …

Use of a portable near infrared spectrometer for wood identification of four dalbergia species from Madagascar

AC Raobelina, G Chaix, AR Razafimahatratra… - Wood and Fiber …, 2023 - wfs.swst.org
This study focused on the use of Near InfraRed (NIR) Spectroscopy to address the lack of
tools and skills for wood identification of Dalbergia species from Madagascar. Two sample …

A chemistry-based explainable machine learning model based on NIR spectra for predicting wood properties and understanding wavelength selection

L Schimleck, S Ayanleye, S Avramidis… - Wood Material Science …, 2023 - Taylor & Francis
ABSTRACT A chemistry-based explainable machine learning (ML) approach was used to
predict wood properties using near infrared (NIR) spectral data collected from rough and …

Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy

FMG Ramalho, JM Andrade, PRG Hein - Forest Systems, 2018 - fs.revistas.csic.es
Aim of study: To verify how well near infrared (NIR) spectroscopy is able to discriminate
wood specimens from natural and planted forests. This study was carried out using tropical …