# Review of Some Applications of Unmanned Aerial Vehicles Technology in the Resource-Rich Country
## 5 Conclusions  
UAVs technology, combined with the intelligent flight planning and data processing methods, has promising prospects in various sectors of the economy. The main function of IUAVT involves monitoring the surrounding space and obtaining images, including multispectral ones, with subsequent processing using onboard and ground-based computing systems. In addition to monitoring, UAVs can solve the tasks of organizing communication, search, transportation, fertilization, as well as the application of herbicides and biophages, etc. The economic effect of using UAVs depends on the degree of development of a particular industry in a particular country. The economic effect of the use of new technologies can be multiplicative for resource-oriented economies due to the relatively low degree of automation of non-extractive industries, for example, agriculture. The specific features of Kazakhstan associated with the pollution of the air basins of cities, the presence of significant risks of dangerous geological processes in the southern part of the country, environmental pollution due to mining, and the need for the development of the mining industry form the local peculiarities of using the IUAVT. Although UAVs are mobile, relatively cheap, and efficient, this is not enough for widespread adaptation of IUAVT in the sectors of the economy. It is necessary to overcome a number of technical, legal, and software-algorithmic limitations. The authors present some classification of data management and processing tasks that need to be solved in order to expand the scope of UAVs employment. It is applied primarily to the tasks of data processing and flight planning. The low flight altitude and the large data flow coming from the UAVs cause the specific problems of processing large volumes of hyperspectral data. The heterogeneity of the tasks and the technical characteristics of the UAVs initiate the search for new solutions in the field of flight planning and control of groups of vehicles. The efforts of the scientific community are aimed at solving these problems. There are solutions for planning optimal routes for UAV groups, for the development of the computer vision systems and the formation of the necessary infrastructure of available data sets for training the deep neural networks. Nevertheless, some technical tasks still remain unsolved; they include, first of all, the task of increasing the duration of the flight, as well as a whole range of tasks of control and data processing for specific conditions of UAV use. The expansion of the range and capabilities of publicly available UAVs management software, the development of algorithms for optimal flight planning, and, in general, the use of UAVs taking into account their reliability, the development of new data processing models, and the creation of the IUAVT open data infrastructure will ensure a wider application of this promising technology. One of the subsequent tasks of the widespread introduction of drones is the task of assessing the reliability of both the drones and their fleets (several drones with a single control center). Currently, according to the expert's estimates, the reliability of the mid