Russian Federation
The article examines the impact of artificial intelligence on forestry, as well as the future of digital technologies used in the forest industry. Despite the traditional conservatism of the forestry sector, AI technologies are beginning to be actively used to solve problems that previously required human participation, such as illegal logging and satellite monitoring. AI demonstrates high efficiency in analyzing space images, which allows for more accurate detection of changes in forest resources. However, experts emphasize that AI will not be able to completely replace humans in monitoring, as it requires qualified support. In conclusion, it is emphasized that AI is not just a fashionable trend, but an important tool that can change existing monitoring systems and increase their efficiency.
digital technologies, forest industry, forest complex, artificial intelligence, neural network
1. Katalakidi M. Iskusstvennyy intellekt vsemu golova.// «Lesnoy kompleks» N° 2 (66) mart-aprel' 2024 g. S. 12-17. [sayt]. — URL: https://terratech.ru/media/files/fc-110424.pdf (data obrascheniya: 23.03.2025).
2. Chen YL, Wu BG, Chen D, Qi Y (2019). Ispol'zovanie mashinnogo obucheniya dlya ocenki prigodnosti uchastka dlya lesonasazhdeniya s opredelennymi vidami. // Forests 10(9): 22. S.53-55.
3. MasahiroRe, Boyan A., Stefano M., Kass M., Blas M. Hartig B., HartigF..Ob'yasnimyy iskusstvennyy intellekt uluchshaet ekologiyu. Interpretiruemost' modeley raspredeleniya vidov «chernogo yaschika» //Ekologiya. 2021. S. 199–205.
4. Krishnan, M. 2020. Protiv interpretiruemosti: kriticheskiy analizproblemy interpretiruemosti v mashinnom obuchenii.// Fil. Tehnol. 33: 487–502. DOI: https://doi.org/10.1007/s13347-019-00372-9
5. Lukas L., Prozrachnyy yaschik: interpretiruemoe mashinnoe obuchenie v ekologii. // Ekologicheskaya monografiya.Ecol. Monogr. 2020. S. 74-76.
6. Mateus E., Gergens E. B. Procedury iskusstvennogo intellekta dlya lesnogo kompleksa. Ocenka konusnosti v slozhnoy mozaike rastitel'nosti v Brazilii. Gruppa po ekologii i ohrane lesov, kafedra botanicheskih nauk, Kembridzhskiy universitet, Kembridzh, Soedinennoe Korolevstvo,Kafedra lesnyh nauk, Sel'skohozyaystvennyy kolledzh, UniversitetizS. Paulu, Pirasikaba, S. Paulu, Braziliya // PLoS ONE 11(5),2016. S. 1-5.
7. AbrashkinaE.D.Agropromyshlennyy kompleks Rossii: Agriculture 4.0. V 2 tomah. T. 1. Strategii ustoychivogo razvitiya regional'nogo agropromyshlennogo kompleksa.// Industriya 4.0 : monografiya / Moskva : Ay Pi Ar Media, 2025. — 509 c. — ISBN 978-5-4497-3808-0 (t. 1), 978-5-4497-3807-3. — Tekst : elektronnyy // Cifrovoy obrazovatel'nyy resurs IPR SMART : [sayt]. — URL: https://www.iprbookshop.ru/144357.html (data obrascheniya: 23.03.2025).
8. MalafeevO. A., ShkrabakV. S., ShkrabakR. V. [i dr.] Matematicheskiy analiz modeley mnogoagentnogo investirovaniya i funkcionirovaniya struktur agropromyshlennogo kompleksa : uchebnoe posobie; pod redakciey O. A. Malafeeva, V. S. Shkrabaka. — Sankt-Peterburg : Prospekt Nauki, 2024. — 256 c. — ISBN 978-5-6046442-0-1. — Tekst : elektronnyy // Cifrovoy obrazovatel'nyy resurs IPR SMART : [sayt]. — URL: https://www.iprbookshop.ru/128689.html (data obrascheniya: 22.03.2025).
