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
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 is a paper indexed in ScholarIQ from OpenAlex.
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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 has 18 citations in the OpenAlex counts ScholarIQ stores.
When was 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 published?
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 has 2022 year in the ScholarIQ index.
What is the open-access status of 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?
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 has gold oa status in the ScholarIQ index.
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The OpenAlex for 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 is on the source record.