Advancements in soil moisture estimation through integration of remote sensing and artificial intelligence techniques.
- DOI
- 10.1016/j.scitotenv.2025.180503
- Published
- 2025 Oct 25
- Container
- The Science of the total environment
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.scitotenv.2025.180503,
title = {Advancements in soil moisture estimation through integration of remote sensing and artificial intelligence techniques.},
author = {P H and Gautam S and Joshi SK and Asirvatham LG and Rakshith BL},
year = {2025},
journal = {The Science of the total environment},
doi = {10.1016/j.scitotenv.2025.180503},
url = {https://doi.org/10.1016/j.scitotenv.2025.180503}
}RIS
TY - JOUR TI - Advancements in soil moisture estimation through integration of remote sensing and artificial intelligence techniques. AU - P H AU - Gautam S AU - Joshi SK AU - Asirvatham LG AU - Rakshith BL PY - 2025 JO - The Science of the total environment DO - 10.1016/j.scitotenv.2025.180503 UR - https://doi.org/10.1016/j.scitotenv.2025.180503 ER -
APA
H, P., S, G., SK, J., LG, A., & BL, R. (2025). Advancements in soil moisture estimation through integration of remote sensing and artificial intelligence techniques.. The Science of the total environment. https://doi.org/10.1016/j.scitotenv.2025.180503
Source records
- pubmed · retrieved 2026-09-26T10:36:08.007Z