A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale
- DOI
- 10.1016/j.aiig.2025.100125
- Published
- 2025-06
- Container
- Artificial Intelligence in Geosciences
- 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.aiig.2025.100125,
title = {A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale},
author = {Khadija Meghraoui and Teeradaj Racharak and Kenza Ait El Kadi and Saloua Bensiali and Imane Sebari},
year = {2025},
journal = {Artificial Intelligence in Geosciences},
doi = {10.1016/j.aiig.2025.100125},
url = {https://doi.org/10.1016/j.aiig.2025.100125}
}RIS
TY - JOUR TI - A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale AU - Khadija Meghraoui AU - Teeradaj Racharak AU - Kenza Ait El Kadi AU - Saloua Bensiali AU - Imane Sebari PY - 2025 JO - Artificial Intelligence in Geosciences DO - 10.1016/j.aiig.2025.100125 UR - https://doi.org/10.1016/j.aiig.2025.100125 ER -
APA
Meghraoui, K., Racharak, T., Kadi, K. A. E., Bensiali, S., & Sebari, I. (2025). A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale. Artificial Intelligence in Geosciences. https://doi.org/10.1016/j.aiig.2025.100125
Source records
- crossref · retrieved 2026-09-26T16:14:32.740Z