Data and Source Code for the FiLM-MTL Crop Recommendation Framework

This repository contains the data and source code supporting the FiLM-MTL framework for joint crop recommendation, yield prediction, and climate-stress assessment. The study uses four heterogeneous agricultural datasets. Dataset I was derived by enriching the Rwanda Soil Nutrient Balance dataset available from Zenodo (Record 7112371) with historical weather and environmental information. Datasets II–IV originate from publicly available agricultural datasets. Original data sources and applicable licence information are documented in the accompanying README file. The repository also contains the source code and supporting materials used for preprocessing, model training, evaluation, climate-perturbation analysis, and crop recommendation.