Agriculture: Accident-prone Working Environment

Pawlak, Halina; Nowakowicz-Dębek, Bożena

doi:10.1016/j.aaspro.2015.12.019

Cited by 10 publications

(13 citation statements)

References 3 publications

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“…The study specifically looked at occupational injury analysis in agribusiness industries, including grain elevator operations, refined fuels, feed milling for livestock, food distribution operations, fertilizer blending/distributions, poultry hatchery/grower/processor, and grain milling operations. Every year, thousands of occupational incidents occur in agribusiness industries [24]. Agribusiness is defined as the operations involved in manufacturing and distribution of farm supplies, production operations on the farm, and the storage, processing, and distribution of farm commodities [25].…”

Section: Introductionmentioning

confidence: 99%

Use of Logistic Regression to Identify Factors Influencing the Post-Incident State of Occupational Injuries in Agribusiness Operations

2019

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Agribusiness industries are among the most hazardous workplaces for non-fatal occupational injuries. The term “post-incident state” is used to describe the health status of an injured person when a non-fatal occupational injury has occurred, in the post-incident period when the worker returns to work, either immediately with zero days away from work (medical state) or after a disability period (disability state). An analysis of nearly 14,000 occupational incidents in agribusiness operations allowed for the classification of the post-incident state as medical or disability (77% and 23% of the cases, respectively). Due to substantial impacts of occupational incidents on labor-market outcomes, identifying factors that influence the severity of such incidents plays a significant role in improving workplace safety, protecting workers, and reducing costs of the post-incident state of an injury. In addition, the average costs of a disability state are significantly higher than those of a medical state. Therefore, this study aimed to identify the contributory factors to such post-incident states with logistic regression using information from workers’ compensation claims recorded between 2008 and 2016 in the Midwest region of the United States. The logistic regression equation was derived to calculate the odds of disability post-incident state. Results indicated that factors influencing the post-incident state included the injured body parts, injury nature, and worker’s age, experience, and occupation, as well as the industry, and were statistically significant predictors of post-incident states. Specific incidents predicting disability outcomes included being caught in/between/under, fall/slip/trip injury, and strain/injury by. The methodology and estimation results provide insightful understanding of the factors influencing medical/disability injuries, in addition to beneficial references for developing effective countermeasures for prevention of occupational incidents.

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Section: Introductionmentioning

confidence: 99%

Use of Logistic Regression to Identify Factors Influencing the Post-Incident State of Occupational Injuries in Agribusiness Operations

2019

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“…Farmers, regardless of season and weather conditions, perform their activities every day, and their duration often extends up to 12-14 hours per day. This situation makes the farmer, in spite of access to modern machinery, puts his work under the pressure of time, fearing the quality and yield of the crop, and the variability of the activities and work places [2].…”

Section: Introductionmentioning

confidence: 99%

Modelling assessment of farmers workload

Pawlak

Maksym

2018

BIO Web Conf.

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The article presents the principles of modeling the physical load assessment of farmers using Bayesian Network technology. Despite rapid development of mechanization and automation of work processes in agriculture, many farmers use their own physical strength, such as manual handling of loads. There are periods in which a farmer performs several or even a dozen of variety activities during the 24 hours. It often happens that all these activities do in a hurry, without rest, working after several hours a day, which further strengthens his physical load. The variety of activities often causes problems with the use indicators to assess the physical load gauges, so Bayesian Network technology was used to develop the evaluation model.

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“…A dangerous point which was frequently noted look upon washing as well as operational maintenance followed through operators placed hopper inside while motioning of the rotating parts. The same incidents as well happening in another machines called forest chippers [12].…”

Section: Introductionmentioning

confidence: 79%

“…The danger of grievance associated for apply in the machines of agricultural is forever most important, as confirmation through the experience of work related mishap resultant through wrong method of utilizing the equipment as well as machinery of agricultural [1][2][3]. The intended attention and important needs and familiar in national as well as the level of European for giving technological explanation beside the danger of devastating, infectious as well as cutting while utilizing self propelled or else spreaders of the towed manure [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Design of Manure Spreader Machine for agricultural farm field

Sengottaian¹,

Mohanrajhu²,

S*³

2019

IJITEE

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The main aim of this project is to reduce the manual efforts of farmers in spreading manure or bio - fertilizers and provide the most convenient and cost-effective way of spreading manure on farm fields. Cow dung is vital for the fertilization of the farm land. So, to do all this there is a hectic process. Organic manure is an eco friendly bio fertilizer used for more polluted new era. The appropriate use of manure for landing is necessary for avoiding land pollution, the surface of the water as well as avoids the defeat of ammonia in addition to all another nutrients through manure. Organic farming methods are appropriate and adoptable for many types of land in several parts of India. Use of manpower for application of organic materials is uneconomical due to high labour cost. Thus, it attracts wide attention in various parts of world. This not only reduces the cost but also protects the environment and health of farmers.

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Agriculture: Accident-prone Working Environment

Cited by 10 publications

References 3 publications

Use of Logistic Regression to Identify Factors Influencing the Post-Incident State of Occupational Injuries in Agribusiness Operations

Use of Logistic Regression to Identify Factors Influencing the Post-Incident State of Occupational Injuries in Agribusiness Operations

Modelling assessment of farmers workload

Design of Manure Spreader Machine for agricultural farm field

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