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.

Plant health plays an important role in influencing agricultural yields and poor plant health can lead to significant economic losses. Grapes are an important and widely cultivated plant, especially in the southern regions of Russia. Grapes are subject to a number of diseases that require timely diagnosis and treatment. Incorrect identification of diseases can lead to large crop losses. A neural network deep learning dataset of 4845 grape disease images was created. Eight categories of common grape diseases typical of the Black Sea region were studied: Mildew, Oidium, Anthracnose, Esca, Gray rot, Black rot, White rot, and bacterial cancer of grapes. In addition, a set of healthy plants was included. In this paper, a new selective search algorithm for monitoring the state of plant development based on computer vision in viticulture, based on YOLOv5, was considered. The most difficult part of object detection is object localization. As a result, the fast and accurate detection of grape health status was realized. The test results showed that the accuracy was 97.5%, with a model size of 14.85 MB. An analysis of existing publications and patents found using the search “Computer vision in viticulture” showed that this technology is original and promising. The developed software package implements the best approaches to the control system in viticulture using computer vision technologies. A mobile application was developed for practical use by the farmer. The developed software and hardware complex can be installed in any vehicle. Such a mobile system will allow for real-time monitoring of the state of the vineyards and will display it on a map. The novelty of this study lies in the integration of software and hardware. Decision support system software can be adapted to solve other similar problems. The software product commercialization plan is focused on the automation and robotization of agriculture, and will form the basis for adding the next set of similar software.

The recent steady demand for products with increased antioxidant properties largely determines the direction of research in the field of creating high‐quality products with increased biological value. Insufficient knowledge of the antioxidant activity and potential biological value of whiskey makes this area of research relevant and in demand. This study presents the results of an analysis of the influence of distillate aging conditions on the phenolic composition and antioxidant capacity of whiskey, obtained using coulometric, chromatographic, and amperometric methods of analysis. During the study, samples of whiskey with increased antioxidant capacity were obtained based on the use of alcoholic extracts of grape stems of the Vitis vinifera species. The data obtained as a result of the study can be used in the future both to improve the efficiency of methods for monitoring and regulating the circulation of alcoholic products based on the developed methodology for determining antioxidant capacity and to contribute to the creation of a new type of alcoholic products with an increased content of bioavailable biologically active substances and antioxidant capacity.

The article introduces a new concept at the intersection of philosophy, aesthetics, literary criticism, history, oenology and branding: mythopoetics. Mythopoetics of wine is understood as a special method of wine analytics that takes the perception of wine beyond the narrow classification of color, bouquet and taste with elements of terroir into the area of image formation: the harmony of historical fact, myth, terroir, poetry, symbol, which are quintessed in a certain wine brand. The article is a continuation of the efforts of José Ortega y Gasset, Massimo Dona, Eric Asimov, Rauf and Alexei Akchurinov in creating an approach to the philosophical understanding of wine. Wine is defined as an essential element of human intellectual and emotional life, firmly embedded in religious practices, secular culture and various genres of art. An important fact is the strong incorporation of wine into the economic structure, especially in the great wine regions of France, Italy, Spain, and Germany: from wine tastings and wine tours to the formation of a solid segment of the alcohol market in the wholesale and retail trade networks. Mythopoetics of wine allows creating its legendarium, project myths about life and death, beauty and ugliness, harmony and chaos onto a specific brand of wine, form the image of a particular wine producer, enhancing the tasting value of wine, increasing interest in thecourtliness of drinking wine, stimulating the tourist development of various regions, bringing the topic of wine to the level of the most pressing problems for interdisciplinary research, both in the field of fundamental knowledge and at the level of applied results.

The article explores the mythopoetic terroir of the Kozskaya and Tokluk valleys on the southeastern coast of Crimea near the city of Sudak. The basis of the mythopoetic reality of wine, from the point of view of the authors, is the historical events associated with the stay of the Hellenes, Genoese, and Ottoman Turks in these places. Throughout the history of winemaking, since antiquity, the wine-making tradition in this terroir has not been interrupted, which has allowed the preservation of more than fifty indigenous grape varieties growing only in this area. The special piquancy of this area is given by the fact that it was in this region that the Russian school of scientific viticultureand winemaking began to take shape. The rich history has left a noticeable mark in the folklore of the indigenous inhabitants of the valleys, which became the basis for the release of the popular book series “Legends of the Crimea”. The authors are convinced that the essence of the wines of JSC “Sunny Valley” can be fully revealed only through an appeal to the mythopoeic logic of combined historical and fabulous impressions, which connects a specific historical fact, the legend of the area with the aroma, taste and color of wine into a single cognitive node. Specific examples of mythopoetic rebranding of the following wine brands are offered: Kokur of the Sunny Valley (dry white wine), Tokluk Montepulciano (complex dry red wine), Porto of the Sunny Valley red (liqueur wine), Cahors of the Sunny Valley (liqueur wine). The reference points for building the mythopoetics of wines are the images of: Pericles (Kokur), the knight Carlo Lomellino or the brothers Guasco (“Tokluk” Montepulciano), Athanasius Nikitin (Porto), the temple of Kilis-Kai (Cahors).