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Ormancılıkta makine öğrenmesi kullanımı

Year 2023, , 150 - 177, 28.06.2023
https://doi.org/10.18182/tjf.1282768

Abstract

Gelişen teknolojiyle beraber diğer disiplinlerde olduğu gibi ormancılıkta da geleneksel uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların kullanımına talepler ve ihtiyaçlar artmaktadır. Özellikle son dönemde ortaya çıkan ormancılık bilişimi, hassas ormancılık, akıllı ormancılık, Ormancılık (Forestry) 4.0, iklim-akıllı ormancılık, sayısal ormancılık ve ormancılık büyük verisi gibi terimler ormancılık disiplinin gündeminde yer almaya başlamıştır. Bunların neticesinde de makine öğrenmesi ve son dönemde ortaya çıkan otomatik makine öğrenmesi (AutoML) gibi modern yaklaşımların ormancılıkta karar verme süreçlerine entegre edildiği akademik çalışmaların sayısında önemli artışlar gözlenmektedir. Bu çalışma, makine öğrenmesi algoritmalarının Türkçe dilinde anlaşılırlığını daha da artırmak, yaygınlaştırmak ve ilgilenen araştırmacılar için ormancılıkta kullanımına yönelik bir kaynak olarak değerlendirilmesi amacıyla ortaya konulmuştur. Böylece çeşitli ormancılık faaliyetlerinde makine öğrenmesinin hem geçmişten günümüze nasıl kullanıldığını hem de gelecekte kullanım potansiyelini ortaya koyan bir derleme makalesinin ulusal literatüre kazandırılması amaçlanmıştır.

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Using Machine Learning in Forestry

Year 2023, , 150 - 177, 28.06.2023
https://doi.org/10.18182/tjf.1282768

Abstract

Advanced technology has increased demands and needs for innovative approaches to apply traditional methods more economically, effectively, fast and easily in forestry, as in other disciplines. Especially recently emerging terms such as forestry informatics, precision forestry, smart forestry, Forestry 4.0, climate-intelligent forestry, digital forestry and forestry big data have started to take place on the agenda of the forestry discipline. As a result, significant increases are observed in the number of academic studies in which modern approaches such as machine learning and recently emerged automatic machine learning (AutoML) are integrated into decision-making processes in forestry. This study aims to increase further the comprehensibility of machine learning algorithms in the Turkish language, to make them widespread, and be considered a resource for researchers interested in their use in forestry. Thus, it was aimed to bring a review article to the national literature that reveals both how machine learning has been used in various forestry activities from the past to the present and its potential for use in the future.

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There are 325 citations in total.

Details

Primary Language Turkish
Subjects Engineering, Forestry Sciences (Other)
Journal Section Derleme
Authors

Remzi Eker 0000-0002-9322-9634

Kamber Can Alkiş 0000-0003-3331-384X

Zennure Uçar 0000-0003-1413-0036

Abdurrahim Aydın 0000-0002-6572-3395

Publication Date June 28, 2023
Acceptance Date May 17, 2023
Published in Issue Year 2023

Cite

APA Eker, R., Alkiş, K. C., Uçar, Z., Aydın, A. (2023). Ormancılıkta makine öğrenmesi kullanımı. Turkish Journal of Forestry, 24(2), 150-177. https://doi.org/10.18182/tjf.1282768
AMA Eker R, Alkiş KC, Uçar Z, Aydın A. Ormancılıkta makine öğrenmesi kullanımı. Turkish Journal of Forestry. June 2023;24(2):150-177. doi:10.18182/tjf.1282768
Chicago Eker, Remzi, Kamber Can Alkiş, Zennure Uçar, and Abdurrahim Aydın. “Ormancılıkta Makine öğrenmesi kullanımı”. Turkish Journal of Forestry 24, no. 2 (June 2023): 150-77. https://doi.org/10.18182/tjf.1282768.
EndNote Eker R, Alkiş KC, Uçar Z, Aydın A (June 1, 2023) Ormancılıkta makine öğrenmesi kullanımı. Turkish Journal of Forestry 24 2 150–177.
IEEE R. Eker, K. C. Alkiş, Z. Uçar, and A. Aydın, “Ormancılıkta makine öğrenmesi kullanımı”, Turkish Journal of Forestry, vol. 24, no. 2, pp. 150–177, 2023, doi: 10.18182/tjf.1282768.
ISNAD Eker, Remzi et al. “Ormancılıkta Makine öğrenmesi kullanımı”. Turkish Journal of Forestry 24/2 (June 2023), 150-177. https://doi.org/10.18182/tjf.1282768.
JAMA Eker R, Alkiş KC, Uçar Z, Aydın A. Ormancılıkta makine öğrenmesi kullanımı. Turkish Journal of Forestry. 2023;24:150–177.
MLA Eker, Remzi et al. “Ormancılıkta Makine öğrenmesi kullanımı”. Turkish Journal of Forestry, vol. 24, no. 2, 2023, pp. 150-77, doi:10.18182/tjf.1282768.
Vancouver Eker R, Alkiş KC, Uçar Z, Aydın A. Ormancılıkta makine öğrenmesi kullanımı. Turkish Journal of Forestry. 2023;24(2):150-77.