| Issue |
E3S Web of Conf.
Volume 390, 2023
VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023)
|
|
|---|---|---|
| Article Number | 07038 | |
| Number of page(s) | 10 | |
| Section | Biodiversity, Agroforestry and Ecosystem Stability for Sustaining the Natural Area | |
| DOI | https://doi.org/10.1051/e3sconf/202339007038 | |
| Published online | 01 June 2023 | |
Stem segmentation for sustainable forest management task
1 St. Petersburg State Forest Technical University, 5, Institutskiy Lane, St. Petersburg, 194021, Russian Federation
2 Syktyvkar Forest Institute (branch) of the Federal State Budgetary Educational Institution of Higher Education «Saint-Petersburg State Forest Technical University named after S.M. Kirov», 39, Lenin Street, Syktyvkar, 167982, Russian Federation
* Corresponding author: fsvoikin@mail.ru
Harvesting of forest raw materials, namely felling and bucking of log on forest areas, is the first and main stage in the logging chain. One of the problems in this industry is the shortage of highly qualified specialists-operators of forest machines, including feller-delimbing-bucking machines (harvesters). Operators who have just come to the industry or have insufficient experience (have worked for less than a year) cannot correctly configure harvesters, as a result of which the processes in the logging chain are disrupted. Thus, it becomes necessary to apply additional models of working with operators and forest machines to reduce the resulting costs for the company. Understanding how much wood raw material will be obtained from the logging site allows predicting not only the amount of equipment required, but also planning actions for the next stages of logging.
© The Authors, published by EDP Sciences, 2023
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