No abstract

This paper, provided by the authors, focuses on the prospects for the development of wine tourism in the southern regions of the Russian Federation. Unlike a beach holiday, for obvious reasons unpopular in winter, wine tourism is a year-round phenomenon. The most important factor in the successful development of this type of business is familiarizing tourists with the latest technologies in winemaking and viticulture. These technologies are based on digitization of agriculture, the introduction of elements of precision farming, digital mapping and yield planning, parallel driving systems, Internet of Things (IoT), the use of unmanned tractors (combines) and robotics.

This paper, provided by the authors, focuses on the prospects for the development of ecotourism in the southern Russia. In recent years, ecotourism is becoming increasingly common in the modern world. According to experts, in the past decade, ecotourism has developed three times faster than the tourism industry as a whole. The southern regions of Russia, for a number of objective and subjective reasons, have all the conditions for the development of tourism. They own vast environmental resources, the use of which, along with the dynamically growing demand for tourism services, will naturally lead to intensification of the development of infrastructure and the territorial organization of ecotourism.

In recent years, artificial intelligence technologies have been developing more and more rapidly, and a lot of research is aimed at solving the problem of explainable artificial intelligence. Various XAI methods are being developed to allow the user to understand the logic of how machine learning models work, and in order to compare the methods, it is necessary to evaluate them. The paper analyzes various approaches to the evaluation of XAI methods, defines the requirements for the evaluation system and suggests metrics to determine the various technical characteristics of the methods. A study was conducted, using these metrics, which determined the degradation in the explanation quality of the SHAP and LIME methods with increasing correlation in the input data. Recommendations are also given for further research in the field of practical implementation of metrics, expanding the scope of their use.

The paper is devoted to innovative methods for monitoring and fighting forest fires in hard-to-reach places using drones and helicopters. The main content of the study comes from the experience of extinguishing forest fires in hard-to-reach places in the southern regions of Russia . The main research is devoted to the problem of extinguishing and finding new innovative ways to prevent and extinguish forest fires in hard-to-reach places. Ecological methods of monitoring and extinguishing forest fires are considered.