Yield Prediction Model for Banana Harvesting in Malawi Using Machine Learning

This dataset contains a trained machine learning model for predicting crop harvest based on agricultural and environmental variables. The model was developed using historical data and preprocessed using standard normalization techniques. It is saved in Python’s <code>pickle</code> format (<code>.pkl</code>) and is intended for reproducibility and extension by researchers in harvest forecasting.本数据集包含一款经训练的机器学习模型，可基于农业与环境变量实现作物收成预测。该模型依托历史数据开发，并通过标准归一化技术完成预处理。模型以Python的pickle格式（.pkl）存储，旨在供收成预测领域的研究人员开展复现与拓展研究。