A hierarchical framework for cropland and crop classification in the Qingtongxia irrigation district using support vector machine and random forest models.
- DOI
- 10.1038/s41598-026-53203-1
- Published
- 2026 May 19
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-53203-1,
title = {A hierarchical framework for cropland and crop classification in the Qingtongxia irrigation district using support vector machine and random forest models.},
author = {Xu X and Wang W and He H and Zhang X},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-53203-1},
url = {https://doi.org/10.1038/s41598-026-53203-1}
}RIS
TY - JOUR TI - A hierarchical framework for cropland and crop classification in the Qingtongxia irrigation district using support vector machine and random forest models. AU - Xu X AU - Wang W AU - He H AU - Zhang X PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-53203-1 UR - https://doi.org/10.1038/s41598-026-53203-1 ER -
APA
X, X., W, W., H, H., & X, Z. (2026). A hierarchical framework for cropland and crop classification in the Qingtongxia irrigation district using support vector machine and random forest models.. Scientific reports. https://doi.org/10.1038/s41598-026-53203-1
Source records
- pubmed · retrieved 2026-09-27T07:04:28.592Z