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

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Authors: Reza Khanmohammadi, Roghayeh Heidari, Faramarz Famil Samavati
Cited by: 0

Abstract

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

Fields of Study & Subjects

Soil Geostatistics and Mapping Remote Sensing in Agriculture Smart Agriculture and AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 March 2026
Language
EN
Document type
Dataset