A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale

Khadija Meghraoui, Teeradaj Racharak, Kenza Ait El Kadi, Saloua Bensiali, Imane Sebari

Open source

DOI
10.1016/j.aiig.2025.100125
Published
2025-06
Container
Artificial Intelligence in Geosciences
Publisher
Elsevier BV
Open access
unknown

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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

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