A hybrid framework combining microwave sensing and deep learning for real-time soil volumetric water content estimation
- DOI
- 10.1038/s41598-026-65948-w
- Published
- 2026-08-14
- 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/s41598-026-65948-w,
title = {A hybrid framework combining microwave sensing and deep learning for real-time soil volumetric water content estimation},
author = {Adel M. Soliman and Amr Elbrashy and Amr H. Hussien and Ashraf Elmorsy},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-65948-w},
url = {https://doi.org/10.1038/s41598-026-65948-w}
}RIS
TY - JOUR TI - A hybrid framework combining microwave sensing and deep learning for real-time soil volumetric water content estimation AU - Adel M. Soliman AU - Amr Elbrashy AU - Amr H. Hussien AU - Ashraf Elmorsy PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-65948-w UR - https://doi.org/10.1038/s41598-026-65948-w ER -
APA
Soliman, A. M., Elbrashy, A., Hussien, A. H., & Elmorsy, A. (2026). A hybrid framework combining microwave sensing and deep learning for real-time soil volumetric water content estimation. Scientific Reports. https://doi.org/10.1038/s41598-026-65948-w
Source records
- crossref · retrieved 2026-11-10T00:31:53.936Z