Abstract
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.
Highlights
The largest and oldest sector of the economy is agriculture, which employs over 2,2 million people, which accounts for about 15% of the population employed in Poland [1]
* Corresponding author: piotr.maksym@up.lublin.pl load? What should be the values of the physical load components to get the desired rating?
The method to assess the physical load on the basis of the sum of points obtained in the evaluation of the attributes that determine the load is used to build the network [3, 12, 13]
Summary
The largest and oldest sector of the economy is agriculture, which employs over 2,2 million people, which accounts for about 15% of the population employed in Poland [1]. 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]. Animal care is an important part of the work With such a range of tasks and responsibilities, it is important to be aware of the type of activities performed as well as the efficiency and physical strength of the farmer [3,4]
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