Joshua Martin, Tyler Seward, Dino Mintas, Russell Wanke
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引用次数: 0
Abstract
The agriculture industry lacks novel techniques for analyzing risks facing its workers. Although injuries are common in this field, existing datasets and tools are insufficient for risk assessment and mitigation for two primary reasons: they provide neither immediate nor long-term risk mitigation advice, and they do not account for hazards which fluctuate daily. The purpose of Demeter is to collect safety data about hazards on farms and produce risk analysis and mitigation reports. This application uses a combination of formula-based risk calculations and state-of-the-art graph neural networks (GNNs) to perform risk analysis and reduction. The formula-based risk calculations had a mean absolute error (MAE) of 0.2110, and the GNN had an accuracy of 94.9%, a precision of 0.3521, and a recall of 0.8333. Demeter has the potential to reduce the number of injuries and fatalities among agriculture workers by alerting them to risks present in their daily workflow and suggesting safety precautions.
期刊介绍:
The Journal of Agromedicine: Practice, Policy, and Research publishes translational research, reports and editorials related to agricultural health, safety and medicine. The Journal of Agromedicine seeks to engage the global agricultural health and safety community including rural health care providers, agricultural health and safety practitioners, academic researchers, government agencies, policy makers, and others. The Journal of Agromedicine is committed to providing its readers with relevant, rigorously peer-reviewed, original articles. The journal welcomes high quality submissions as they relate to agricultural health and safety in the areas of:
• Behavioral and Mental Health
• Climate Change
• Education/Training
• Emerging Practices
• Environmental Public Health
• Epidemiology
• Ergonomics
• Injury Prevention
• Occupational and Industrial Health
• Pesticides
• Policy
• Safety Interventions and Evaluation
• Technology