Study on rural landscape design strategies integrating computer vision and deep learning: an analysis based on human perception and visual aesthetics
- DOI
- 10.1038/s41598-025-19635-x
- Published
- 2025-10-13
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-19635-x,
title = {Study on rural landscape design strategies integrating computer vision and deep learning: an analysis based on human perception and visual aesthetics},
author = {Mo Shanghao and Dai Zetian and Wen Yinuo},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-19635-x},
url = {https://doi.org/10.1038/s41598-025-19635-x}
}RIS
TY - JOUR TI - Study on rural landscape design strategies integrating computer vision and deep learning: an analysis based on human perception and visual aesthetics AU - Mo Shanghao AU - Dai Zetian AU - Wen Yinuo PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-19635-x UR - https://doi.org/10.1038/s41598-025-19635-x ER -
APA
Shanghao, M., Zetian, D., & Yinuo, W. (2025). Study on rural landscape design strategies integrating computer vision and deep learning: an analysis based on human perception and visual aesthetics. Scientific Reports. https://doi.org/10.1038/s41598-025-19635-x
Source records
- crossref · retrieved 2026-11-03T14:53:15.208Z