Smart farming is about managing a farm using modern information and communication techniques in order to increase the efficiency and quality of plant and animal production and to optimise human labour inputs. It is an inseparable part of a sustainable agricultural economy, where energy-saving and low-emission solutions are of particular importance, e.g. in livestock construction. Animal buildings are one of the main building elements of a farm. The paper presents the use of modern solutions that may result in lower energy consumption, and thus lower operating costs of the building. They also reduce the consumption of natural resources and the emission of pollutants, and ensure animal welfare and safety of the operators’ work. Rational use of energy depends, among others, on from the used insulation materials for the construction of livestock buildings, technical equipment, i.e. lighting, heating, ventilation, as well as zootechnical devices. The profitability of livestock production can also be supported by the use of solar, wind, water and biomass energy. Photovoltaic cells, solar collectors, wind turbines, heat pumps and agricultural biogas plants are used for this purpose.

The aim of the two studies (N = 245 and N = 199) was to investigate the predictors of environmental guilt and analyze its mediating role between human-nature relationship and pro-environmental behavior intentions. In the first study, the connectedness to nature and social dominance orientation emerged as predictors of environmental guilt. In addition, guilt was an important mediator of the relationship between the connectedness and individual pro- environmental behavior. In the second study, guilt was predicted by gender, by locating the causes of the climate crisis in human activities rather than in the Earth's natural cycles, and by environmental nostalgia. In addition, guilt mediated the relationship between environmental nostalgia and willingness to engage in collective action and support systemic changes. Thus, environmental guilt seems to be an important factor in predicting a wide range of environmentally friendly activities: individual behavioral intentions, willingness to engage in collective actions, and support for systemic changes.