BIO Web Conf.
Volume 10, 2018Contemporary Research Trends in Agricultural Engineering
|Number of page(s)||5|
|Section||Engineering and Technology|
|Published online||26 March 2018|
Modelling assessment of farmers workload
University of Life Sciences in Lublin, Faculty of Production Engineering, Departments of Ergonomics, 20-612 Lublin, Głęboka 28. Poland
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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