Published March 11, 2026 | Version 1.0

Dataset for "The Evolution of Data-Driven Management Zone Delineation: A Systematic Review"

  • 1. DeepTern AI Inc.
  • 2. EDMO icon University of Calgary

Description

Dataset for:
The Evolution of Data-Driven Management Zone Delineation: A Systematic Review

This dataset accompanies the systematic review analyzing 137 peer-reviewed studies on field-scale management zone (MZ) delineation in precision agriculture published between 2000 and 2025.

The dataset contains structured information extracted from the reviewed literature to enable transparent comparison of data, computational workflows, and validation strategies used for MZ delineation.

Dataset contents

The dataset includes:

  • mz_delineation_review_dataset.csv – tabular dataset for analysis
  • mz_delineation_review_dataset.json – machine-readable version of the dataset

Each record corresponds to a single study and contains structured variables describing:

  • Agronomic context (country, crop type)
  • Data sources used directly for MZ delineation
  • Computational workflow applied for MZ delineation
  • Validation strategies and evaluation metrics
  • Publication metadata (year, DOI as a hyperlink)
  • 300 first charcters of the abstract

GitHub repository:

roghiheidari/mz-delineation-review-code: The codes that I used in MZ-Delineation Review Paper

Recommended citation:

Khanmohammadi, R., et al. (2026).
Dataset for "The Evolution of Data-Driven Management Zone Delineation: A Systematic Review".
Zenodo. https://doi.org/10.5281/zenodo.18945916

Files

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Additional details

Related works

Is supplement to
Journal article: 10.3390/s26103249 (DOI)

Software