Safety, Volume 12, Issue 1
2026 February - 30 articles
Cover Story: A massive surveillance gap is hiding the true toll of agricultural injuries in the US. Because small farms are exempt from standard reporting, thousands of accidents go uncounted. This study introduces a framework using 2400+ manually curated news-reported incidents from AgInjuryNews. These real-world reports capture critical details of diverse events, from tractor rollovers and machinery entanglements to high-lethality hazards like grain entrapment in silos. By applying ensemble machine-learning and explainable AI techniques, we transformed these narrative-based reports into actionable data. This framework empowers stakeholders to move beyond sparse federal data, using media-derived insights to design targeted safety interventions and reduce the human toll of agricultural injuries. View this paper
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Safety - ISSN 2313-576X