Investigating the Relationship between Climate Change and Crop Production in Europe
Files
Authors
Vecchio, Daria
Issue Date
2025.16.12
Degree
HDip in Data Analytics
Publisher
Dublin Business School
Rights holder
Rights
Open Access
Abstract
This report investigates the relationship between climate change and wheat production in Europe between 1961 and 2023, with the goal of building predictive models for use in agricultural planning and risk assessment. Historical climate and yield data was cleaned, prepared and analysed. Various Machine learning algorithms were tested including, Linear regression, Tree based methods, Support Vector Machine and Gradient Boosted Regression. GBR outperformed all other models giving the highest accuracy (R2=0.93). The results highlight the potential of ensemble methods for yield production. Future work will include looking into non-climatic variables to get a wider more well-rounded outlook.