Optimizing potato crop productivity: a meteorological analysis and machine learning approach
- DOI
- 10.11591/ijai.v14.i2.pp1116-1129
- Published
- 2025-04-01
- Container
- IAES International Journal of Artificial Intelligence (IJ-AI)
- Publisher
- Institute of Advanced Engineering and Science
- 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:10.11591/ijai.v14.i2.pp1116-1129,
title = {Optimizing potato crop productivity: a meteorological analysis and machine learning approach},
author = {Md. Jiabul Hoque and Md. Saiful Islam and Abdullah Al Noman and Md. Abrarul Hoque and Irfan A. Chowdhury and Mohammad Saifuddin},
year = {2025},
journal = {IAES International Journal of Artificial Intelligence (IJ-AI)},
doi = {10.11591/ijai.v14.i2.pp1116-1129},
url = {https://doi.org/10.11591/ijai.v14.i2.pp1116-1129}
}RIS
TY - JOUR TI - Optimizing potato crop productivity: a meteorological analysis and machine learning approach AU - Md. Jiabul Hoque AU - Md. Saiful Islam AU - Abdullah Al Noman AU - Md. Abrarul Hoque AU - Irfan A. Chowdhury AU - Mohammad Saifuddin PY - 2025 JO - IAES International Journal of Artificial Intelligence (IJ-AI) DO - 10.11591/ijai.v14.i2.pp1116-1129 UR - https://doi.org/10.11591/ijai.v14.i2.pp1116-1129 ER -
APA
Hoque, M. J., Islam, M. S., Noman, A. A., Hoque, M. A., Chowdhury, I. A., & Saifuddin, M. (2025). Optimizing potato crop productivity: a meteorological analysis and machine learning approach. IAES International Journal of Artificial Intelligence (IJ-AI). https://doi.org/10.11591/ijai.v14.i2.pp1116-1129
Source records
- crossref · retrieved 2026-09-26T13:15:03.675Z