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Nowadays, in the agricultural industry, area monitoring is carried out using drones that are not linked to other devices such as ground-based automatic harvesters or drip irrigation systems. This results in a lot of time-consuming decision-making for harvesting ripe different crops or for pesticide treatment of areas of crops that need it immediately. This problem can be solved by using a monitoring system with heterogeneous robotic means, which allows the distribution of tasks between aerial robotic means. The purpose of this work is to optimize the algorithm of the control system for a group of robotic assets using a multigeneric decision-making approach. Many methods of operator decision support, control algorithms for solving the task of agricultural monitoring, used by scientific teams in the development of heterogeneous robotic means do not solve the problem in full. The approach is based on model optimization, namely the theory of auctions within the developed system, allowing to find a robotic system providing the maximum probability of fulfillment of the set task.

This paper investigates the technologies for the formation of the thin-film electrode material of the chemical current sources. To get the high specific energy density of the electrode we used the grinding of chemically active material (LiCoO2), which the most widely used for cathode materials of chemical current sources to deposit on the materialized carbon-based electrode materials. The tested results show that the specific energy density of the electrode reaches to 210 mAh/g, which is more than thick-film technologies can reach (150 mAh/g).

We consider the fermions coupled to external gravitational field at finite temperature. In three dimensions we derive the induced Chern-Simons term by local-momentum method. The precise dependence of coefficients on temperature is obtained.