The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/c0ee655d-9b93-4934-b6ae-b3803dc7cbd0

Moyo, Evance Hlekwayo (2025): Yield Prediction Model for Banana Harvesting in Malawi Using Machine Learning. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c0ee655d-9b93-4934-b6ae-b3803dc7cbd0.v1

Categories

• Artificial Intelligence and Image Processing
• Horticultural Production
• Management and Productivity
• Crop and Pasture Production
• Agricultural and Veterinary Sciences
• Economic Framework
• Information and Computing Sciences

Keywords

Agriculture Machine Learning Modelling Python Yield Prediction

Geolocation

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Evance Hlekwayo Moyo

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 pickle format (.pkl) and is intended for reproducibility and extension by researchers in harvest forecasting.

History

• 2025-07-18 first online, published, posted

Publisher

4TU.ResearchData

Format

*.pkl

Organizations

University of Johannesburg, College of Business and Economics, Department of Transport and Supply Chain Management, Johannesburg, South Africa