@article{article_29685, title={AUTOMATION RESEARCHES IN FOREST PRODUCTS INDUSTRY}, journal={Artvin Çoruh Üniversitesi Orman Fakültesi Dergisi}, volume={5}, pages={40–47}, year={2011}, author={Aydın, İsmail}, abstract={<p style="margin: 0cm 0cm 0pt; line-height: normal" class="MsoNormal"> <span style="font-family: Times-Roman; font-size: 10pt">Wood is a natural polymeric material which has a heterogenic nature. The natural growth process and environmental influence can lead to features in wood that are undesirable for certain applications and are known as defects. Defects in wood affect the visual appearance and structural properties of wood. The <br />type of defect is based on whether growth, environmental conditions, handling or processing causes it. The definition and acceptability of defect types can vary between industries. Wood materials such as log, lumber and parquet are usually subject to a classification before selling and these materials are sold based on their quality grades. The ability to detect internal defects both in the log and lumber can save mills time and processing costs. <br /> In this study, information on the automation research conducted for detection the defects in wood materials were given. As a result, it is indicated that there are numerous scanning methods able to detect wood features, but no one method is adequate for all defect types </span> </p>}, number={1}, publisher={Artvin Çoruh Üniversitesi}