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Regional transfer-learning framework for maize-yield estimation in Zimbabwe: Supplementary data, model outputs and sensitivity-analysis results

Domaine:

agriculture

Type de record:

dataset
Créateur:
Hov
Éditeur:
Zenodo
Hôte:avatar
This dataset contains machine-readable supplementary outputs supporting a PhD thesis on regional transfer learning for annual national maize-yield estimation in Zimbabwe. The files include final SPAM2020 model-comparison results, SPAM2010 sensitivity results, combined test-performance metrics and matched-model stability outputs. Zimbabwe was treated as the target domain, while Malawi, Mozambique, South Africa and Zambia provided empirical source-domain observations. The archive also includes documentation describing the files, modelling terminology, principal results and reproducibility procedures.

Visit

doi.orgzenodo.org

Tasks

transfer learning

Tags

Artificial intelligence

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode