The number of recognized accidents with fatalities during agricultural and forestry work, despite better technology and coordinated prevention and trainings, is still very high in Austria. The accident scenarios in which people are injured are very different on farms. The common causes of accidents in agriculture and forestry are the loss of control of machine, means of transport or handling equipment, hand-held tool, and object or animal, followed by slipping, stumbling and falling, breakage, bursting, splitting, slipping, fall, and collapse of material agent. In the literature, a number of studies of general (machine- and animal-related accidents) and specific (machine-related accidents) agricultural and forestry accident situations can be found that refer to different databases. From the database Data of the Austrian Workers Compensation Board (AUVA) about occupational accidents with different agricultural machinery over the period 2008-2010 in Austria, main characteristics of the accident, the victim, and the employer as well as variables on causes and circumstances by frequency and contexts of parameters were statistically analyzed by employing the chi-square test and odds ratio. The aim of the study was to determine the information content and quality of the European Statistics on Accidents at Work (ESAW) variables to evaluate safety gaps and risks as well as the accidental man-machine interaction.

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Human exposure to mechanical vibration may represent a significant risk factor for exposed workers in the agricultural sector. Also, noise in agriculture is one of the risk factors to be taken into account in the evaluation of workers’ health and safety. One of the major sources of discomfort for the workers operating a tractors is the noise to which they are exposed during work. The aim of this study was to evaluate the risk of exposure to whole-body vibration for the operator driving track-laying tractors in vineyard orchard and the noise level. The experimental tests were performed with six different track-laying tractors coupled with the same rototilling machine. The results showed that the vibration values of track-laying tractors coupled to rototilling machine, referred to the 8-hour working day, were always higher than 0.5 m s-2, the daily exposure action value established by Directive 2002/44/EC of the European Parliament. The daily noise exposure levels always exceeded the exposure limit value of 87 dB(A) established by Directive 2003/10/EC of the European Parliament. The ANOVA repeated measures model showed that the factor ‘site’, namely, the soil characteristics, did not influence the vibration level on the X and Y-axes of the tractors measured, regardless of their age. In the Z-axis, the vibration level was enhanced as the soil structure increased. As tractor age increased, the influence of soil characteristics was less important. In term of the age of the tractor and the number of hours worked, it was possible to identify three risk classes, which were up to 3,000 hours worked and offered a low risk; from 3,000 – 6,000 hours worked with a medium risk, and over 6,000 hours with a high risk level

The interview results demonstrated neck and dorsal pains and fatigue causes for each operator. The VO₂ was equal to 82.33 ± 27.40 lO₂/h for women and 67.00 ± 27.60 lO₂/h for men, meaning that it was tiring for some men but for all women. The heart rates were of 115 ± 6.00 bpm for women and 113 ± 5.65 bpm for men. The VCO₂ was of 63.81 ± 21.45 lCO₂/h for women and 45.10 ± 25.53 lCO₂/h for men, while energetic equivalent and body surface area were similar for both genders, about 5.60W × h/l O₂ and 1,80 m(2) on average. Women's metabolic rate had a very high value - over 290W × m(-2), although for the men it was between 200-260W × m(-2). According to OWAS, low apple picking was ranked in class 2, high apple picking in class 1, and apple transportation belonged to class 3. conclusion. Related to VO₂ and VCO₂ consumption and the identified negative body postures, it is necessary to improve working conditions.

Proponents of hay milk farming claim several benefits on an ecological and economic level, while little about the social aspects has been studied so far. The present study serves as a first exploration of certain aspects of social sustainability from the perspective of hay milk farmers. The results of an online survey of 284 Austrian hay milk farmers are presented. The statistical analyses included Fisher’s exact tests (contingency tables), Kendall’s rank correlations and a two-step cluster analysis. The sampled farms show positive attitudes toward the work in agriculture (e.g., contribution to the cultural landscape) and are mainly satisfied regarding several job aspects (e.g., occupational diversity), but to a great extent dissatisfied with others (e.g., social recognition, time resources). The critical stressors are the agricultural policy, the economic situation, too little time for partnership or family life as well as bureaucracy and work overload. Multiple medium associations between aspects of well-being are revealed. Obvious and meaningful relationships between farm characteristics and aspects of well-being are scarce. The cluster analysis does little to help explain the characteristics of well-being within the patterns of farms. It therefore seems that the perception of the investigated aspects of well-being on hay milk farms is mostly formed individually and is only associated with the farms’ characteristics to a certain degree.