Framework-Family Screening Matrix, Acquisition-Layer Scoring File, and MATLAB Simulation Artifacts for Trustworthy Agricultural IoT Data Acquisition

This Zenodo record provides the reproducibility artifacts for the paper “A Framework-Family Assessment of Edge-Side Methods for Trustworthy Agricultural IoT Data Acquisition.” The package contains the framework-family screening matrix, paper-to-family assignment file, acquisition-layer scoring matrix, evidence-strength scoring file, dataset-source descriptions, MATLAB simulation scripts, run manifest, generated result tables, and diagram source descriptions. The artifacts support a framework-family assessment of edge-side agricultural Internet of Things (IoT) methods for trustworthy data acquisition. The included files document how papers were grouped into ten framework families, how acquisition-oriented criteria and evidence-strength indicators were scored, and how MATLAB-based replay experiments were used to evaluate controlled disturbance scenarios involving noise, spikes, drift, missing values, and mixed disturbance. The package also includes result files corresponding to the family–criteria coverage result, loophole-to-requirement mapping, benchmark comparison, and component-removal validation reported in the paper. The provided MATLAB scripts are intended to support repeatable data loading, disturbance injection, representative benchmark execution, proposed-protocol replay, metric calculation, and result-table generation. The diagrams included in this record were rendered with the assistance of ChatGPT image generation tools. However, the diagram concepts, analytical structure, simulation design, scoring logic, and interpretation are based on the authors’ original research work.