A greater contribution energy production in the future should be expected from agricultural biomass, because current research indicates low utilization of agricultural biomass specifically in the direct combustion process. The paper presents an example of energy integration of the corn cob in the process of drying seed corn. The paper presents the efficient method of drying corn seed with one?s own corn cob. The technological process of drying is presented through the technological process of operation of the corn seed dryer on the corn cob, the energy industrial plant of the dryer and the technological process of two-pass drying of the cob. The main characteristic of a given dryer is the process of two-pass drying of the cob, because the air passes through the cob layer twice and in that way energy is saved. The drying time on the presented dryer has been shortened from the usual time from 90-80 hours, i.e. by 11%. This increase in performance results in a 15% reduction in dryer operating costs.

This research analyzed the degree of utilization of the agricultural biomass for energy purposes (combustion), in order to indicate the reasons that limit its use. The biomass potential was studied by means of the methodology of the biomass potential, whereas the factors suggesting a low degree of biomass utilization were identified by means of factor analysis. The research results reveal that there is an enormous potential of the unused agricultural biomass. This dissertation research significantly contributes to the establishment of a genuine mathematical model based on multiple linear regression. The solution obtained by this analysis, in both a mathematical and a scientific manner, conveys the primary reasons for an insufficient utilization of the biomass for energy purposes. Moreover, the paper suggests the measures to be applied for a more substantial use of this renewable source of energy and presents the expected benefits to be gained.

Research and practice experience have shown that in the Republic of Serbia, vine pruning residues (VPRs) from vineyard production are mostly partially ploughed or uncontrollably burned in fields. Uncontrolled burning of VPRs in fields can destroy flora and fauna and cause uncontrolled fires. On the other hand, on an annual basis, the resulting VPRs can completely replace the fossil fuels used for thermal energy production on these estates and significantly reduce the emission of pollutants from fossil fuels. The novelty of this study lies in the fact that the research was conducted on a very young vineyard, four years old, and the results show that the agricultural property is fully sustainable in terms of thermal energy needs. The research aimed to investigate the energy potential of VPRs at the vineyard located in the Mrčić settlement in Western Serbia. The research results include the following grape varieties: Tamjanika, Morava, Cabernet Sauvignon, and Cabernet Franc. The average yield of VPR biomass for all tested varieties was 0.387 kg/vine or 1741.50 kg/ha. The lower calorific values for the tested biomass samples at 15% moisture content ranged from 14,668 kJ/kg to 14,258 kJ/kg, while the upper values ranged from 16,099 kJ/kg to 15,721 kJ/kg. The total energy potential of biomass obtained from a vineyard, expressed in final energy, was 41.90 MWh/year. In the observed vineyard, for the same equivalent value, biomass from VPRs was 3.57 times cheaper compared to brown coal and 8.26 times cheaper compared to diesel fuel.

Wine production in the Republic of Serbia has a long tradition and potential for improvement, given the agro-climatic and other conditions. The aim of this paper is to analyze the competitiveness factors of wineries in the Republic of Serbia. The findings show that the wine industry is developing, but its' competitiveness is at a relatively low level. In order to strengthen the competitiveness of the wine sector, it is necessary to define and implement a strategy, which will include activities such as modernization of grape processing technology, new investments and investment in human resources, marketing, winemakers' association and creating a stimulating business climate. Without state support, a significant increase in the competitiveness of wineries cannot be expected. Since interest in wine production has been recently growing, it is to be expected that the wine production, as well as its' export will increase, thus achieving significantly greater economic effects.

Modern development of electric vehicles imposes an extremely important requirement related to their driving range. In addition to traction force and acceleration, driving range is one of the most important performance indicators that contributes to the assessment of the functional quality of a vehicle.Driving range is a measure of energy autonomy, and low autonomy is one of the biggest limitations to the wider adoption of electric vehicles.The main issue behind the limited autonomy lies in the capacity (and design concept) of the embedded energy storage system. The design of such a storage system should enable high operational efficiency with the smallest possible volume and mass of the propulsion battery. Another challenge related to vehicle range concerns the management of available energy, which involves controlling electricity consumption. This means identifying all vehicle usage options that affect energy (and power) consumption, keeping in mind that the battery is the only energy source in fully electric vehicles.

This paper investigates the performance of a maximal ratio combining (MRC) receiver with $L$ diversity branches operating over a $\mathrm{k}-\mu$ fading channel, which is a generalized fading model suitable for various wireless environments. An exact closed-form expression for the channel capacity (CC) is derived based on the signal-to-noise ratio (SNR) at the output of the MRC receiver. Furthermore, the impact of various link-level and system-level parameters on the channel capacity is analyzed through detailed graphical simulations. The presented results provide valuable insights into the design and optimization of wireless communication systems operating over $\mathbf{k}$ $\mu$ fading channels. Finally, we also introduce Large Language Model (LLM) based approach to electromagnetic radiation (EMR) estimation, leveraging the previously calculated values of channel capacity among other factors.