Vol. 1 No. 1 (2026): Volume 1, Issue 1 (2026)
Machine Learning Models for Climate Prediction and Adaptation Planning
Karim Benjelloun, University Ibn Tofail, Kenitra
Amira El Mansouri, University Ibn Tofail, Kenitra
DOI: 10.5281/zenodo.19696978
Published: August 23, 2021
Abstract
This article examines Machine Learning Models for Climate Prediction and Adaptation Planning with a focused emphasis on Morocco within the field of Computer Science. It is structured as a systematic literature review that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
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How to Cite
Karim Benjelloun, Amira El Mansouri (2021). Machine Learning Models for Climate Prediction and Adaptation Planning. African Journal of Machine Learning and Agriculture, Vol. 1 No. 1 (2026): Volume 1, Issue 1 (2026). https://doi.org/10.5281/zenodo.19696978
Keywords
Machine Learning ModelsMachine LearningLearning ModelsClimate PredictionAdaptation PlanningMachine
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Vol. 1 No. 1 (2026): Volume 1, Issue 1 (2026)
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African Journal of Machine Learning and Agriculture
References
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