Machine Learning Models for Climate Prediction and Adaptation Planning

Key Points

• The research aims to evaluate machine learning models for predicting climate patterns and enhancing adaptation strategies in Morocco.
• Conducted a systematic literature review of existing machine learning models related to climate prediction and adaptation planning.
• Analyzed institutional and policy dynamics relevant to the African context.
• Organized findings into a concise publication-ready format.
• Identified key machine learning models effective in climate prediction and adaptation.
• Highlighted relevant institutional and theoretical dynamics for the African context.
• Provided practical conclusions to guide climate adaptation policies in Morocco.