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Artificial Intelligence in Forestry: A Comprehensive Analysis of Current Applications and Future Perspectives

Cilt: 21 Sayı: 1 30 Haziran 2025
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Artificial Intelligence in Forestry: A Comprehensive Analysis of Current Applications and Future Perspectives

Öz

This study systematically analyzes artificial intelligence (AI) applications in forestry management, exploring current implementations, challenges, and future perspectives. A review of 580 articles from Web of Science (211) and Scopus (369) databases (2021-2025) identifies key themes where AI is transforming forestry practices. Forest Monitoring and Management Systems (30.4%) and Digital Transformation (23.6%) dominate current research, followed by Resource Optimization (17.1%) and Biodiversity Conservation (14.6%). Significant opportunities are noted in productivity enhancement, risk analysis, biodiversity conservation, and carbon management through AI. However, challenges such as data quality, resource constraints, operational complexities, and regulatory requirements remain. Emerging trends like human-centered AI, digital twins, and integrated sensor networks show promise. This analysis offers valuable insights for forestry professionals, researchers, and policymakers, providing a framework to understand AI's potential and limitations while emphasizing balanced integration for environmental sustainability and operational efficiency.

Anahtar Kelimeler

Artificial Intelligence, Forest Management, Digital Transformation, Sustainability, Forest Technology

Kaynakça

  1. Akalın, B., & Veranyurt, Ü. (2021). Sağlık Hizmetleri ve Yönetiminde Yapay Zekâ. *Acta Infologica*, 5(1), 231-240. [https://doi.org/10.26650/acin.750857](https://doi.org/10.26650/acin.750857)
  2. Alıcılar, H., & Çöl, M. (2021). Usage of Artificial Intelligence in Public Health. *Uludağ Üniversitesi Tıp Fakültesi Dergisi*, 47(1), 151-158. [https://doi.org/10.32708/uutfd.891274](https://doi.org/10.32708/uutfd.891274)
  3. Andersson, Å., Kallio, M., & Seppälä, R. (1984). Systems Analysis for the Forest Sector. *IIASA Working Paper, WP-84-060*. Retrieved from: [https://pure.iiasa.ac.at/id/eprint/2501/7/WP-84-017.pdf](https://pure.iiasa.ac.at/id/eprint/2501/7/WP-84-017.pdf). Access date: 15.11.2024.
  4. Araújo Júnior, C.A., Pereira, B.L.C., Oliveira, A.C., & Leite, H.G. (2017). A multi-agent System for Forest Transport Activity Planning. *Cerne*. 23(3) [https://doi.org/10.1590/01047760201723032335](https://doi.org/10.1590/01047760201723032335)
  5. Ardıç, M. (2018). Bireysel Kalite Göstergesi Olan Motivasyonu Etkileyen Faktörlerin Orman Yönetiminde İncelenmesi: Gümüşhane Ili Örneği. *Artvin Çoruh Üniversitesi Orman Fakültesi Dergisi*, 19(2), 194-205. [https://doi.org/10.17474/artvinofd.448807](https://doi.org/10.17474/artvinofd.448807)
  6. Aspragathos, N., Dogkas, E., Konstantinidis, P., Koutmos, P., Lamprinou, N., Moulianitis, V., & Thanellas, G. (2019). From Pillars to AI Technology-Based Forest Fire Protection Systems. *Intelligent System and Computing, Chapter 5*, 89-112.
  7. Back, P. (2021). Real-World Reinforcement Learning: Observations from Two Successful Cases. *34th Bled eConference Digital Support from Crisis to Progressive Change*, 273-285.
  8. Back, P., Suominen, A., Malo, P., Tahvonen, O., Blank, J., & Deb, K. (2022). Towards Sustainable Forest Management Strategies with MOEAs. *Genetic and Evolutionary Computation Conference*, 1046-1054, Cancun, Mexico.
  9. Banu, T., Borlea, G.F., & Banu, C. (2016). The Use of Drones in Forestry. *Journal of Forest Science*, 62(1), 533-540.
  10. Başcıllar, M., Karataş, M., & Pak, M. (2022). Social Algorithms in The Digital Age: Artificial Intelligence and Social Work. *Sosyal Politika Çalışmaları Dergisi*, 22(56), 539-565. [https://doi.org/10.21560/spcd.vi.1081060](https://doi.org/10.21560/spcd.vi.1081060)

Kaynak Göster

APA
Areta Hızıroğlu, O., & Semiz, T. (2025). Artificial Intelligence in Forestry: A Comprehensive Analysis of Current Applications and Future Perspectives. Düzce Üniversitesi Orman Fakültesi Ormancılık Dergisi, 21(1), 303-334. https://doi.org/10.58816/duzceod.1595847
AMA
1.Areta Hızıroğlu O, Semiz T. Artificial Intelligence in Forestry: A Comprehensive Analysis of Current Applications and Future Perspectives. DÜOD. 2025;21(1):303-334. doi:10.58816/duzceod.1595847
Chicago
Areta Hızıroğlu, Ouranıa, ve Tarık Semiz. 2025. “Artificial Intelligence in Forestry: A Comprehensive Analysis of Current Applications and Future Perspectives”. Düzce Üniversitesi Orman Fakültesi Ormancılık Dergisi 21 (1): 303-34. https://doi.org/10.58816/duzceod.1595847.
EndNote
Areta Hızıroğlu O, Semiz T (01 Haziran 2025) Artificial Intelligence in Forestry: A Comprehensive Analysis of Current Applications and Future Perspectives. Düzce Üniversitesi Orman Fakültesi Ormancılık Dergisi 21 1 303–334.
IEEE
[1]O. Areta Hızıroğlu ve T. Semiz, “Artificial Intelligence in Forestry: A Comprehensive Analysis of Current Applications and Future Perspectives”, DÜOD, c. 21, sy 1, ss. 303–334, Haz. 2025, doi: 10.58816/duzceod.1595847.
ISNAD
Areta Hızıroğlu, Ouranıa - Semiz, Tarık. “Artificial Intelligence in Forestry: A Comprehensive Analysis of Current Applications and Future Perspectives”. Düzce Üniversitesi Orman Fakültesi Ormancılık Dergisi 21/1 (01 Haziran 2025): 303-334. https://doi.org/10.58816/duzceod.1595847.
JAMA
1.Areta Hızıroğlu O, Semiz T. Artificial Intelligence in Forestry: A Comprehensive Analysis of Current Applications and Future Perspectives. DÜOD. 2025;21:303–334.
MLA
Areta Hızıroğlu, Ouranıa, ve Tarık Semiz. “Artificial Intelligence in Forestry: A Comprehensive Analysis of Current Applications and Future Perspectives”. Düzce Üniversitesi Orman Fakültesi Ormancılık Dergisi, c. 21, sy 1, Haziran 2025, ss. 303-34, doi:10.58816/duzceod.1595847.
Vancouver
1.Ouranıa Areta Hızıroğlu, Tarık Semiz. Artificial Intelligence in Forestry: A Comprehensive Analysis of Current Applications and Future Perspectives. DÜOD. 01 Haziran 2025;21(1):303-34. doi:10.58816/duzceod.1595847