Effect of Age on Hospitalized Machine-Related Farm Injuries Among the Saskatchewan Farm Population

Hagel, Louise; Dosman, James A.; Rennie, D. C.; Ingram, Maggie; Senthilselvan, A.

doi:10.13031/2013.16472

Cited by 17 publications

(1 citation statement)

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“…While establishment has the smallest contribution to worker injury risk in biofuel switchgrass because of the limited worker exposure to this operation, the greatest contributing factor to worker injury risk in both production systems is harvest. This agrees with the literature in that harvest can be the most dangerous operation in agricultural production because injury rates are elevated during harvest (Hagel et al, 2004;Hanna and Schwab, 2013;Knapp, 1966), which further validates the functionality of this model.…”

Section: Discussionsupporting

confidence: 90%

Agricultural Worker Injury Comparative Risk Assessment Methodology: Assessing Corn and Biofuel Switchgrass Production Systems

Schwab

Mosher

Ryan

2017

Journal of Agricultural Safety and Health

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Keeping workers safe is a continuing challenge in agricultural production. Risk assessment methodologies have been used widely in other industries to better understand systems and enhance decision making, yet their use in production agriculture has been limited. This article describes the considerations and the approach taken to measure the difference in worker injury risks between two agricultural production systems. A model was developed specifically for the comparison of worker injury risk between corn and biofuel switchgrass production systems. The model is composed of injury and exposure values that were used in a Monte Carlo simulation. The output of this risk assessment shows that approximately 99% of the values from the Monte Carlo simulation rank corn production as a greater worker injury risk than biofuel switchgrass production. Furthermore, the greatest contributing factors for each production system were identified as harvest, and that finding aligns with current literature.

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Section: Discussionsupporting

confidence: 90%