Machine learning-based estimation and spatial mapping of soil phosphorus and potassium using sentinel-2 and environmental covariates.
- DOI
- 10.1038/s41598-026-59967-w
- Published
- 2026 Jul 9
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-59967-w,
title = {Machine learning-based estimation and spatial mapping of soil phosphorus and potassium using sentinel-2 and environmental covariates.},
author = {Bandak S and Boali A and Komaki CB and Ghorbani K and Alinejad M},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-59967-w},
url = {https://doi.org/10.1038/s41598-026-59967-w}
}RIS
TY - JOUR TI - Machine learning-based estimation and spatial mapping of soil phosphorus and potassium using sentinel-2 and environmental covariates. AU - Bandak S AU - Boali A AU - Komaki CB AU - Ghorbani K AU - Alinejad M PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-59967-w UR - https://doi.org/10.1038/s41598-026-59967-w ER -
APA
S, B., A, B., CB, K., K, G., & M, A. (2026). Machine learning-based estimation and spatial mapping of soil phosphorus and potassium using sentinel-2 and environmental covariates.. Scientific reports. https://doi.org/10.1038/s41598-026-59967-w
Source records
- pubmed · retrieved 2026-09-26T20:21:54.345Z