This study offers a Systematic Literature Review of the main applications of Industry 4.0
technologies in the wood sector, from forest management and raw materials production to …

The remarkable developments in computer vision and machine learning have changed the
methodologies of many scientific disciplines. They have also created a new research field in …

Classification and recognition of wood species have critical importance in wood trade,
industry, and science. Therefore, accurate identification of wood species is a great necessity …

Wood identification is an important tool in many areas, from biology to cultural heritage. In
the fight against illegal logging, it has a more necessary and impactful application …

Availability of and access to wood identification expertise or technology is a critical
component for the design and implementation of practical, enforceable strategies for …

This paper discusses the efficacy of the data augmentation method deployed in many
Convolutional Neural Network (CNN) algorithms for determining timber defect in four timber …

The wide application of personal biometric information such as face, fingerprint, iris, and
voiceprint has simultaneously created many new ethical and legal issues, including the …

Conventional fluorescence spectroscopy has been suggested as a valuable tool for
classifying wood species rapidly and non-destructively. However, because it is challenging …

Forests are of incalculable value due to the ecosystem services they provide to humanity
such as carbon storage, climate regulation and participation in the hydrological cycle. The …

Deep learning has gained a lot of research interest in artificial intelligence (AI) in many
applications, such as image understanding, object detection, feature extraction, audio/video …