AI-driven solutions to improve safety and health: Application of the REDECA framework for agricultural tractor drivers.

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Bibliographic Details
Title: AI-driven solutions to improve safety and health: Application of the REDECA framework for agricultural tractor drivers.
Authors: Ashrafi N; Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, California, United States of America., Yousefi S; Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America., Aby GR; Marshfield Clinic Health System, Marshfield, Wisconsin, United States of America., Issa SF; Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America., Darabi H; Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois, United States of America., Alaei K; Department of Health Science, California State University, Long Beach, Long Beach, California, United States of America., Placencia G; Department of Industrial and Manufacturing Engineering, California State Polytechnic University Pomona, Pomona, California, United States of America., Pishgar M; Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, California, United States of America.
Source: PLOS global public health [PLOS Glob Public Health] 2025 Jun 04; Vol. 5 (6), pp. e0003543. Date of Electronic Publication: 2025 Jun 04 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 9918283779606676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3375 (Electronic) Linking ISSN: 27673375 NLM ISO Abbreviation: PLOS Glob Public Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2767-3375
DOI:10.1371/journal.pgph.0003543