Automated Image-based Identification of Forest Species: Challenges and Opportunities for 21st Century Xylotheques

Research article (2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 2018) · cited 23× · AI/ML
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Automated Image-based Identification of Forest Species: Challenges and Opportunities for 21st Century Xylotheques

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Automated Image-based Identification of Forest Species: Challenges and Opportunities for 21st Century Xylotheques is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Automated Image-based Identification of Forest Species: Challenges and Opportunities for 21st Century Xylotheques. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-image-based-identification-of-forest-species-challenges-and-opportunities-for-21st-century-xylotheques
MLA “Automated Image-based Identification of Forest Species: Challenges and Opportunities for 21st Century Xylotheques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-image-based-identification-of-forest-species-challenges-and-opportunities-for-21st-century-xylotheques.
BibTeX @misc{4ortxyz_automated-image-based-identification-of-forest-species-challenges-and-opportunities-for-21st-century-xylotheques_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated Image-based Identification of Forest Species: Challenges and Opportunities for 21st Century Xylotheques}}, year = {2026}, url = {https://4ort.xyz/entity/automated-image-based-identification-of-forest-species-challenges-and-opportunities-for-21st-century-xylotheques}, note = {Accessed: 2026-05-24}}
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