Currently, much attention is paid to the monitoring of new biopathogens, which are formed as a result of targeted genetic manipulations resulting from human activity, and natural variability. The sensitivity of mutated organisms to various disinfectants can differ significantly from the sensitivity of the original varieties. Thus, the assessment of alimentary-caused biological risk factors in terms of resistance to the effects of chemical disinfectants is an important area of scientific research. The aim of the work is to assess the nutritionally determined biological risk factors in terms of resistance to the effects of chemical disinfectants. The research methods were general scientific methods of cognition, as well as the analysis of alimentary-caused biological risk factors in terms of resistance to chemical disinfectants, which was carried out by us, based on the standardized methodology for the epidemiological assessment of Dubyansky-Maletskaya. The analysis covered a three-year period from 2019 to 2021, and was carried out by us on the materials of the Ryazan region provided by the Center for Hygiene and Epidemiology of the Ryazan Region and the Main Directorate of Veterinary Medicine of the Ryazan Region. The scientific novelty of the study lies in identifying the features of the manifestation of the sensitivity of alimentary-conditioned biological risk factors to various groups of chemical disinfectants. Results. Our study allowed us to draw the following conclusions: the resistance of alimentary-caused biological risk factors to chemical disinfectants is largely due to their etiological characteristics; among the group of pathogens with very low resistance to chemical disinfectants, the main share is occupied by risk factors of bacterial etiology; among the group of pathogens with medium resistance to chemical disinfectants, the main share is occupied by risk factors of viral etiology; among the group of pathogens with high resistance to chemical disinfectants, the main share is occupied by risk factors of helminthic etiology; a group of pathogens with a very high resistance to chemical disinfectants mainly consists of risk factors of helminthic etiology and spore-forming anaerobic bacteria.

Relevance. In order to obtain high-quality seed material, seed farms should pay great attention to crop cultivation technologies. At the same time, an important role is played by the implementation of such breeding measure as phyto-cleaning of breeding and seed plots, in order to identify and eliminate infected plants. However, it is worth noting the fact that the implementation of such measure requires the presence of highly qualified specialists capable of detecting plant diseases at early stages. However, currently there is a shortage of such employees in agriculture, and therefore the development of innovative digital technologies aimed at detecting infected plants is an urgent task. Currently, machine vision and neural network technologies designed to solve such problems are actively developing.Methods. As part of the research, existing machine vision technologies were analyzed, as well as developed machine learning technologies. Then, based on the analysis, a software package based on a convolutional neural network was developed. During the training and testing of the neural network, framing technologies, affine transformation methods, information and logical analysis of the initial information were used.Results. To determine the quality of the software package for the identification of diseased potato plants, a series of tests was conducted. During the research, the accuracy with which the distribution of plants to a particular group was carried out was evaluated. The analysis of the results showed that the chosen neural network design successfully coped with the experimental task. At the same time, for the further development of this direction, it is necessary to create an extensive information base on potato diseases. That will allow in the future to develop a software and hardware complex for the analysis of potato plantings and the identification of infected plants in real time.

Relevance. The article deals with the relevance of a quantitative assessment of the level of biological risk for alimentary-caused factors according to the epidemiological indicators of infectious morbidity in the Ryazan region over a five-year period. Alimentarycaused biological risk factors are pathogens of infectious and parasitic diseases of various etiologies transmitted with food products, which can be the causative agents of especially dangerous infections, acute intestinal infections, food poisoning or be a source of food poisoning.Methods. In the course of the research, we used statistical methods for analyzing and assessing cyclical trends in morbidity, predicting the dynamics of morbidity, comparing the dynamics of morbidity with the dynamics of alimentary-related biological risk factors.Results. To quantify the level of biological risk for alimentary-related factors according to the epidemiological indicators of infectious morbidity in the Ryazan region, threestage epidemiological diagnostics was carried out, including the stage of collecting and analyzing statistical information, a descriptive and analytical stage. The results of our analysis over a five-year period showed that the greatest danger at present in terms of food safety is posed by risk factors of bacterial etiology: Staphylococcus aureus bacteria (УР_эпид = 365,572), diarrheagenic serovariants of Escherichia and bacteria of the Escherichia coli group (УР_эпид = 367,230), as well as various Salmonella serovariants (УР_эпид = 371,161).

The effectiveness of animal treatment largely depends on correctly selected veterinary drugs. In recent years, there has been a decrease in the activity of antimicrobial agents against both gram-positive and gram-negative microorganisms. This trend is associated with the natural processes of adaptation of bacteria to living conditions. Once inside the animal’s body, bacterial cells react flexibly to both the immune response and treatment with antimicrobial agents. In cases where medical care was provided with antibiotics with low activity against a specific pathogen, there was a failure to comply with deadlines or deviations from the treatment regimen, some bacterial cells may not only not die, but also acquire drug resistance. Surviving microorganisms can change the type of colonial growth, the shape of the shell (many modern studies are devoted to L-forms of bacteria, which are formed under the influence of unfavorable factors, including antibiotics) or acquire new qualities through mutational changes. It is these processes that drive the emergence of bacterial strains resistant to antimicrobial drugs. As a result, many treatment regimens cease to give the desired result, since they include drugs whose active components do not have the proper bactericidal effect on resistant strains. In order for the treatment of animals to have therapeutic effectiveness, careful monitoring of antimicrobial agents and the compilation of an up-to-date list of them is necessary, based on the active substances and drug resistance of pathogens of infectious diseases. Thus, reviews of effective antibiotic therapy are a current area of veterinary medicine.

The article describes precision farming technologies (FT) for use in agriculture. Precision farming is a new system that is designed to increase crop yields through the use of various aspects, such as technology, management and information, in order to increase productivity, improve crop quality, protect the environment and save energy. Information related to agricultural land is difficult to store due to large amounts of data and annual fluctuations in the distribution of agricultural land. One of the main and responsible components of the FT consists of several sets of satellites. These sets of satellites send radio signals in the form of waves to a receiver installed on earth, the receivers, having received the signals, process them and find out the exact topographic position. Precision farming consists of remote sensing techniques using smart sensors, which play a vital role in monitoring, obtaining and providing processed crop data to farmers. Precision farming is positioned as a new agricultural practice used by farmers to increase crop productivity through the use of modern technologies such as IoT (Internet of Things), AI (artificial intelligence), ML (machine learning) and cloud computing. To date, most studies conducted in the field of FT show that FT-based agriculture has significantly affected the productivity and sustainability of crops. Thus, FT is an attractive concept that naturally meets the farmer's expectations for more efficient use of agricultural resources.

The work is devoted to the issues of using polyhydroxy acids in rabbit breeding. Antioxidants are extremely important compounds for living organisms. The authors considered the effect of gluconolactone used in the animal diet on the metabolic processes and physiological indicators of life activity of rabbits. Based on the studies (using gluconolactone as an example), the advisability of including supplements containing polyhydroxy acids in the rabbit diet is shown. Polyhydroxy acids, which are antioxidants, when regularly introduced with feed, help to increase the overall resistance of the body, stimulate the growth and healthy development of animals, which in turn leads to obtaining high-quality agricultural products. Rabbits, like other animals, can obtain antioxidants from plant foods, but their concentration may be insufficient for full protection against oxidative stress. To stabilize feed rations, various biologically active additives are used, which make it possible to increase the efficiency of animal rearing and improve productivity indicators. Thus, polyhydroxy acids, in particular gluconolactone, are well suited for sensitive animals that require the utmost care and gentle rearing.