Operationalizing-GIS-and-Machine-Learning-across-Contrasting-Cropping-Systems/CITATION.cff at main · halilunaziru73-creator/Operationalizing-GIS-and-Machine-Learning-across-Contrasting-Cropping-Systems · GitHub

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cff-version: 1.2.0
message: If you use this software, please cite it as below.
type: software
title: 'Integrated GIS, Remote-Sensing, and Machine-Learning Precision Agriculture
  Across Three Portuguese Cropping Systems: Maize Fertility Zoning, Vineyard Pest
  Monitoring, and Machine-Learning-Enhanced Grape Ripening Prediction'
authors:
- family-names: Halilu
  given-names: Naziru
  orcid: https://orcid.org/0009-0006-2324-9599
repository-code: https://github.com/halilunaziru73-creator/Operationalizing-GIS-and-Machine-Learning-across-Contrasting-Cropping-Systems
license: MIT
date-released: '2026-08-02'
keywords:
- GIS
- remote sensing
- machine learning
- precision agriculture
- viticulture
- regression kriging
identifiers:
- type: doi
  value: 10.5281/zenodo.21760035
  description: Archived snapshot of version v1.0.0 on Zenodo
- type: doi
  value: 10.5281/zenodo.21760034
  description: 'Concept DOI: always resolves to the latest archived version'
version: 1.0.0