An explainable AI-based hybrid machine learning model for interpretability and enhanced crop yield prediction
- DOI
- 10.1016/j.mex.2025.103442
- Published
- 2025-12
- Container
- MethodsX
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.mex.2025.103442,
title = {An explainable AI-based hybrid machine learning model for interpretability and enhanced crop yield prediction},
author = {Anuradha Yenkikar and Ved Prakash Mishra and Manish Bali and Tabassum Ara},
year = {2025},
journal = {MethodsX},
doi = {10.1016/j.mex.2025.103442},
url = {https://doi.org/10.1016/j.mex.2025.103442}
}RIS
TY - JOUR TI - An explainable AI-based hybrid machine learning model for interpretability and enhanced crop yield prediction AU - Anuradha Yenkikar AU - Ved Prakash Mishra AU - Manish Bali AU - Tabassum Ara PY - 2025 JO - MethodsX DO - 10.1016/j.mex.2025.103442 UR - https://doi.org/10.1016/j.mex.2025.103442 ER -
APA
Yenkikar, A., Mishra, V. P., Bali, M., & Ara, T. (2025). An explainable AI-based hybrid machine learning model for interpretability and enhanced crop yield prediction. MethodsX. https://doi.org/10.1016/j.mex.2025.103442
Source records
- crossref · retrieved 2026-09-27T05:31:44.916Z