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Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops
Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops
Summary
Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops is a scholarly article[1].
Key Facts
Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops. Retrieved May 24, 2026, from https://4ort.xyz/entity/coupling-of-machine-learning-methods-to-improve-estimation-of-ground-coverage-from-unmanned-aerial-vehicle-uav-imagery-f
MLA“Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/coupling-of-machine-learning-methods-to-improve-estimation-of-ground-coverage-from-unmanned-aerial-vehicle-uav-imagery-f.
BibTeX@misc{4ortxyz_coupling-of-machine-learning-methods-to-improve-estimation-of-ground-coverage-from-unmanned-aerial-vehicle-uav-imagery-f_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops}}, year = {2026}, url = {https://4ort.xyz/entity/coupling-of-machine-learning-methods-to-improve-estimation-of-ground-coverage-from-unmanned-aerial-vehicle-uav-imagery-f}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops — https://4ort.xyz/entity/coupling-of-machine-learning-methods-to-improve-estimation-of-ground-coverage-from-unmanned-aerial-vehicle-uav-imagery-f (retrieved 2026-05-24)
