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Identification of rural courtyards’ utilization status using deep learning and machine learning methods on unmanned aerial vehicle images in north China
Research article (Building Simulation, 2024) · cited 16× · AI/ML
Identification of rural courtyards’ utilization status using deep learning and machine learning methods on unmanned aerial vehicle images in north China
Summary
Identification of rural courtyards’ utilization status using deep learning and machine learning methods on unmanned aerial vehicle images in north China is a scholarly article[1].
Key Facts
Identification of rural courtyards’ utilization status using deep learning and machine learning methods on unmanned aerial vehicle images in north China'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). Identification of rural courtyards’ utilization status using deep learning and machine learning methods on unmanned aerial vehicle images in north China. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-rural-courtyards-utilization-status-using-deep-learning-and-machine-learning-methods-on-unmanned-aeria
MLA“Identification of rural courtyards’ utilization status using deep learning and machine learning methods on unmanned aerial vehicle images in north China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-rural-courtyards-utilization-status-using-deep-learning-and-machine-learning-methods-on-unmanned-aeria.
BibTeX@misc{4ortxyz_identification-of-rural-courtyards-utilization-status-using-deep-learning-and-machine-learning-methods-on-unmanned-aeria_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of rural courtyards’ utilization status using deep learning and machine learning methods on unmanned aerial vehicle images in north China}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-rural-courtyards-utilization-status-using-deep-learning-and-machine-learning-methods-on-unmanned-aeria}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification of rural courtyards’ utilization status using deep learning and machine learning methods on unmanned aerial vehicle images in north China — https://4ort.xyz/entity/identification-of-rural-courtyards-utilization-status-using-deep-learning-and-machine-learning-methods-on-unmanned-aeria (retrieved 2026-05-24)
