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An Interpretable Deep Learning Framework for Spatial Prediction of Soil Salinity Using Multi-Source Remote Sensing and Environmental Data: A Case Study of… — Europe PMC PMID:42944326
- Source
- Europe PMC (en)
- Original
- https://europepmc.org/article/MED/42944326
- DOI
- 10.3390/s26206465
- License (as archived)
- solo-consultazione
- Archived
- 2026-10-31T22:49:19.501Z
- SHA-256 of the archived text
bc19f9ccd413b0caf13bf6c5e2238aca8ffda8ca43b6568cad710aff5587a30f- Stable URL of this page
https://metraipolis.com/documento/dc_bc776170bea2
How to cite
An Interpretable Deep Learning Framework for Spatial Prediction of Soil Salinity Using Multi-Source Remote Sensing and Environmental Data: A Case Study of… — Europe PMC PMID:42944326 — Europe PMC (en), https://europepmc.org/article/MED/42944326 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_bc776170bea2 (Metraipolis archive dc_bc776170bea2, sha256 bc19f9ccd413b0caf13bf6c5e2238aca8ffda8ca43b6568cad710aff5587a30f)
BibTeX
@misc{dcbc776170bea2,
title = {An Interpretable Deep Learning Framework for Spatial Prediction of Soil Salinity Using Multi-Source Remote Sensing and Environmental Data: A Case Study of… — Europe PMC PMID:42944326},
howpublished = {Europe PMC (en)},
url = {https://europepmc.org/article/MED/42944326},
note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_bc776170bea2; sha256 bc19f9ccd413b0caf13bf6c5e2238aca8ffda8ca43b6568cad710aff5587a30f},
year = {2026}
}Archived text
The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42944326. Agents can read the archived copy with the MCP tool read_document.