Results 31 to 40 of about 1,303 (110)

Wood Species Identification Based on Gray Level Co-Occurrence Matrix (GLCM) Features on Macroscopic Images

open access: yesJurnal Rekayasa Elektrika
Wood is an incredibly valuable resource, particularly for everyday living. To fully harness the advantages of wood, it must focus on two key considerations.
Muhammad Ghiffaari Ilham Ramadhan   +8 more
doaj   +1 more source

IDENTIFICATION OF WOOD DESTRUCTION DURING DRYING

open access: yesMaderas. Ciencia y tecnología, 2004
The subject of this paper concerns destruction of timber during drying. The main goal is to propose a method of avoiding destruction through a suitable programming of drying processes, controlled with the help of the acoustic emission (AE) method. Three different programs of convective drying of pinewood (Pinus sp.) samples are presented.
KOWALSKI, STEFAN J, SMOCZKIEWICZ, ANNA
openaire   +4 more sources

Visible/near-infrared hyperspectral imaging combined with machine learning for identification of ten Dalbergia species

open access: yesFrontiers in Plant Science
IntroductionThis study addresses the urgent need for non-destructive identification of commercially valuable Dalbergia species, which are threatened by illegal logging.
Zhenan Chen   +10 more
doaj   +1 more source

The Possibilities of FTIR Spectroscopy Method Application for the Archaeological Wood Species Determination

open access: yesАрхеология евразийских степей, 2023
FTIR spectroscopy method of a single frustrated total internal reflection was used to study 53 samples of coniferous wood and 77 samples of deciduous wood of the middle zone of Russia.
Victor M. Pozhidaev   +3 more
doaj   +1 more source

Identification of natural sunken wood samples

open access: yesComptes Rendus Palevol, 2007
Abstract Sunken woods are abundant in deep oceanic environments, housing a huge faunal diversity. Studies on that substrate firstly focused on the associated organisms, but since a few years, identification of wood is a further aim. The purpose is to appreciate its degradation state, diversity, geographical origin and to identify specific ...
Pailleret, M.   +6 more
openaire   +2 more sources

Wood identification services in support of legal supply chains: A market study

open access: yesSustainable Futures, 2023
Major wood-importing markets, such as the European Union, the United States of America, and China, have set regulations in place requiring operators to only sell wood-based goods that are sourced and processed in accordance with local laws.
Jo Van Brusselen   +2 more
doaj   +1 more source

Historical records for a 16th-century monastery: the use of jacarandá-da-bahia [PDF]

open access: yesRodriguésia
The Monastery of St. Benedict was founded in 1590 and has a very rich historical record comprising both artifacts and written records. Anatomical study of the wood of artifacts allows the species used in each to be identified.
Thaís Ferreira Siston   +3 more
doaj   +1 more source

Wood identification and tree-ring chronology building of oak pillars excavated from submerged prehistoric settlement (3000 BC), Ropotamo River estuary, Black Sea [PDF]

open access: yesSilva Balcanica
Eighty one well-preserved wooden pillars were found аs a result of underwater archaeological excavations of a submerged prehistoric settlement in the estuary of Ropotamo River, Black Sea.
Dimitar Petrov Dimitrov
doaj   +3 more sources

Ebony Wood Identification to Battle Illegal Trade [PDF]

open access: yesBiodiversity Information Science and Standards, 2019
Illegal logging is a serious global issue. It is not only a great threat to rare forest species, but also contributes to the current biodiversity crisis and climate change. Despite international agreements, 10-30% of all imported wood has been illegally logged.
Jahanbanifard, M.   +3 more
openaire   +2 more sources

Rapid identification of wood species using XRF and neural network machine learning

open access: yesScientific Reports, 2021
An innovative approach for the rapid identification of wood species is presented. By combining X-ray fluorescence spectrometry with convolutional neural network machine learning, 48 different wood specimens were clearly differentiated and identified with
Aaron N. Shugar   +2 more
doaj   +1 more source

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