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Efficient dead pine tree detecting method in the Forest damaged by pine wood nematode (<i>Bursaphelenchus xylophilus</i>) through utilizing unmanned aerial vehicles and deep learning-based object detection techniques

Research article (Forest Science and Technology, 2022) · cited 15× · AI/ML
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Efficient dead pine tree detecting method in the Forest damaged by pine wood nematode (Bursaphelenchus xylophilus) through utilizing unmanned aerial vehicles and deep learning-based object detection techniques

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Efficient dead pine tree detecting method in the Forest damaged by pine wood nematode (Bursaphelenchus xylophilus) through utilizing unmanned aerial vehicles and deep learning-based object detection techniques is a scholarly article[1].

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  • Efficient dead pine tree detecting method in the Forest damaged by pine wood nematode (Bursaphelenchus xylophilus) through utilizing unmanned aerial vehicles and deep learning-based object detection techniques's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Efficient dead pine tree detecting method in the Forest damaged by pine wood nematode (<i>Bursaphelenchus xylophilus</i>) through utilizing unmanned aerial vehicles and deep learning-based object detection techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-dead-pine-tree-detecting-method-in-the-forest-damaged-by-pine-wood-nematode-i-bursaphelenchus-xylophilus-i-thr
MLA “Efficient dead pine tree detecting method in the Forest damaged by pine wood nematode (<i>Bursaphelenchus xylophilus</i>) through utilizing unmanned aerial vehicles and deep learning-based object detection techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-dead-pine-tree-detecting-method-in-the-forest-damaged-by-pine-wood-nematode-i-bursaphelenchus-xylophilus-i-thr.
BibTeX @misc{4ortxyz_efficient-dead-pine-tree-detecting-method-in-the-forest-damaged-by-pine-wood-nematode-i-bursaphelenchus-xylophilus-i-thr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient dead pine tree detecting method in the Forest damaged by pine wood nematode (<i>Bursaphelenchus xylophilus</i>) through utilizing unmanned aerial vehicles and deep learning-based object detection techniques}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-dead-pine-tree-detecting-method-in-the-forest-damaged-by-pine-wood-nematode-i-bursaphelenchus-xylophilus-i-thr}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient dead pine tree detecting method in the Forest damaged by pine wood nematode (<i>Bursaphelenchus xylophilus</i>) through utilizing unmanned aerial vehicles and deep learning-based object detection techniques — https://4ort.xyz/entity/efficient-dead-pine-tree-detecting-method-in-the-forest-damaged-by-pine-wood-nematode-i-bursaphelenchus-xylophilus-i-thr (retrieved 2026-05-24)

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