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The Law on the Spatial Plan of the Republic of Serbia from 2010 to 2020 [1] recognizes the exploitation of mineral resources, especially in the Kolubara and Kostolac mining basins, as one of the largest sources of soil degradation and pollution. Municipals Obrenovac (thermal power plants (TPP), ash dumps), Lazarevac (surface coal mines, TPP, ash and slag disposal, coal processing), and Kostolac (TPP, open pit coal mines, ash and slag dumps) are classified as the most vulnerable areas ("hot spots") in the Republic of Serbia. The mentioned and similar sites contaminated with certain pollutants require remediation. According to the United States Environmental Protection Agency [2], the process of applying a particular remediation technology

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Bioenergy crops represent potential which lowers the country's dependence on oil imports and the emission of CO 2 and contributes to the economic rural development. Miscanthus giganteus is the second generation agro energy crop suitable for cultivation in small agricultural households. The aim of this paper is to determine the economic advantages and limitations of M. giganteus production compared to the conventional production of maize in a small household in Serbia. The data are based on real yields achieved in the field during a nine-year experiment as well as prices from 2018. The experiment was carried out ona farm household which traditionally produces maize on the low fertility land with the use of their own basic machinery and storage space. Miscanthus production made for at least 30% reduced expenditures and around 16% higher revenues compared to maize production. Significant obstacles to the production of miscanthus were identified, primarily the ones related to the underdevelopment of the biomass market in Serbia.

Let us suppose a situation in which it is necessary to check the car before going on a journey, a situation in which breakdowns appear but also mysteriously disappear, a situation where solving problems with the vehicle is only possible by looking at the data obtained by reading sensors, routine vehicle checking (insight into data irregularity), "real-time" monitoring of car condition…The main goal of this paper is the early detection of erroneous readings of vehicle airflow systems in real time and constant monitoring of the subject vehicle, by coupling and using trained models based on machine learning tools of artificial intelligence and using "Infinity" device.

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