Processing Of Agricultural Products Research Articles

Urea Fertilization Significantly Promotes Nitrous Oxide Emissions from Agricultural Soils and Is Attributed to the Short-Term Suppression of Nitrite-Oxidizing Bacteria during Urea Hydrolysis.

The application of urea in agricultural soil significantly boosts nitrous oxide (N2O) emissions. However, the reason for nitrite accumulation, the period of nitrite-oxidizing bacteria (NOB) suppression, and the main NOB species for nitrite removal behind urea fertilization have not been thoroughly investigated. In this study, four laboratory microcosm experiments were conducted to simulate urea fertilization in agricultural soils. We found that within 36 h of urea application, nitrite oxidation lagged behind ammonia oxidation, leading to nitrite accumulation and increased N2O emissions. However, after 36 h, NOB activity recovered and then removed nitrite, leading to reduced N2O emissions. Urea use resulted in an N2O emission rate tenfold higher than ammonium. During incubation, Nitrobacter-affiliated NOB growth decreased initially but increased later with urea use, while Nitrospira-affiliated NOB appeared unaffected. Chlorate suppression of NOB lasted longer, increasing N2O emissions. Urease inhibitors effectively reduced N2O emissions by slowing urea hydrolysis and limiting free ammonia production, preventing short-term NOB suppression. In summary, short-term NOB suppression during urea hydrolysis played a crucial role in increasing N2O emissions from agricultural soils. These findings revealed the reasons behind the surge in N2O emissions caused by extensive urea application and provided guidance for reducing N2O emissions in agricultural production processes.

Realizing Food Security from the Role of Women in the Family in Kolam Village Deli Serdang Regency

Food security can be defined as the availability of food in sufficient quantity and quality, distributed at affordable prices and safe for consumption for people to be able to carry out daily activities all the time. Food security cannot be separated from the role of women. Women are involved in production activities (on farm), processing and distribution of food. Women not only produce food, but are also the main person responsible for the nutritional needs of all family members. By nature, women, whether they act as housewives or heads of families, are the first to have a strategic role in selecting food ingredients, managing them, even processing and serving them to their household members. Women not only process food, but also must participate in the agricultural production process to ensure economic access to food. The gender gap in women's roles in agriculture disadvantages them in several ways.

Effects of tillage and maturity stage on the yield, nutritive composition, and silage fermentation quality of whole-crop wheat.

Whole-crop wheat (Triticum aestivum, WCW) has a high nutritional value and digestibility. No-tillage (NT) can reduces energy and labor inputs in the agricultural production process, thus decreasing production costs. There are many studies on planting techniques of WCW at present, few being on no-tillage planting. This study aimed to compare the effects of different tillage methods and maturity stages on the yield, nutritive value, and silage fermentation quality of WCW. The experiment included two tillage methods (NT; conventional tillage, CT), two maturity stages (flowering stage; milk stage), and three years (2016-2017; 2017-2018; 2018-2019). Years had a strong influence on the yield and nutritional composition of WCW. This was mainly related to the amount of rainfall, as it affects the seedling emergence rate of wheat. Although tillage methods showed no significant effects on the yield, plant height, and stem number per plant of WCW (P > 0.05), compared to CT, the dry matter (DM) and crude protein (CP) yields of NT decreased by 0.74 t/ha and 0.13 t/ha. Tillage methods showed no significant effects on the nutritive composition of WCW (P > 0.05). The WCW at the milk stage had greater DM (5.25 t/ha) and CP (0.60 t/ha) yields than that at the flowering stage (3.19 t/ha and 0.39 t/ha) (P< 0.05). The acid detergent fiber concentration of WCW decreased by 34.5% from the flowering to the milk stage, whereas water-soluble carbohydrates concentration increased by 50.6%. The CP concentration at the milk stage was lower than that at the flowering stage (P< 0.05). The lactic acid concentration of NT (17.1 g/kg DM) silage was lower than that of CT (26.6 g/kg DM) silage (P< 0.05). The WCW silage at the milk stage had a lower NH3-N concentration (125 g/kg TN) than that at the flowering stage (169 g/kg TN) (P< 0.05). Wheat sown by NT and CT was of similar yield and nutritional value, irrespective of harvest stages. WCW harvested at the milk stage had greater yield and better nutritional composition and silage fermentation quality than that at the flowering stage. Based upon the results of the membership function analysis, no-tillage sowing of wheat was feasible and harvesting at milk stage was recommended.

Amelioration in nanobiosensors for the control of plant diseases: current status and future challenges

The increase in global population has had a tremendous impact on sustainable agri-food practices. With the growth in world population, various modern technologies are being utilized that more often result in the opening of tremendous opportunities in the agriculture and food sectors. Nanotechnology is used in agri-food sectors for a variety of purposes, including enhancing flavor, pest/pathogen diagnosis, production, processing, storage, packaging, and transportation of agricultural products. Plant pathogenic microorganisms including bacteria, viruses, fungi, and nematodes have a significant impact on the global economy. In particular, advances in nanotechnology, including nanobiosensors, have been used in the detection of plant diseases and pathogens, the evaluation and examination of infections caused by microorganisms, the management of diseases and, thus, the promotion of food security. Apart from the management of plant diseases, nanobiosensors offer better opportunities for sustainable agri-food production by controlling physical, chemical, and biological processes, thus improving food safety and the agricultural economy. This review outlines the application of nano-integrated nanobiosensors for better agricultural and food practices.

The Siberian regional branch of the Russian Academy of Agricultural Sciences is on guard of the agro-industrial complex of Siberia (1969–2015)

A brief historical background on the activities of the Siberian Branch of the Russian Academy of Agricultural Sciences in 1969–2015 as a center of scientific support of the agro-industrial complex of Siberia is presented: the leading scientists, the structure of the branch, territorial scientific centers, the results of work and achievements of the scientific institutions under the jurisdiction of the branch in the field of economics, farming, crop production, animal husbandry, veterinary medicine, automation, mechanization and electrification of agriculture, processing of agricultural products. The system of scientific personnel training is shown, the main link of which is the Small Agricultural Academy. The main directions of integration of the branch's activities with the research institutions of the Siberian Branch of the Russian Academy of Sciences and universities of the region, as well as the directions of international cooperation are listed. The book-publishing activities of the branch, the scientific journal "Siberian Herald of Agricultural Science" and the newspaper "Kolos Sibiri" are described.

Faktor-Faktor Yang Memengaruhi Aliran Perdagangan Produk Pertanian Antar Negara ASEAN

The agricultural sector has an important role for national economic development, especially countries in the ASEAN region with a climate that is very suitable for agricultural activities. Trade in agricultural products between ASEAN countries in terms of exports has gradually increased, but exports out of the region are very large. The lower export ratio in the ASEAN region can be due to ASEAN's highly competitive agricultural products, but this cannot increase the import ratio between countries. This condition explains that the utilization of opportunities in trade activities in the ASEAN region has not been optimal. The purpose of the study is to determine the factors that influence the flow of trade in agricultural products between ASEAN countries. The data used by researchers are secondary data in the agricultural sector for the period 2013 to 2022 with variables of GDP of each country in ASEAN, GDP per capita, population, economic distance, and exchange rate. The data is processed with a gravity model approach. The results showed that the independent variables that had a positive and significant effect were the population of the country of origin, population of the partner country, GDP per capita of the country of origin and GDP per capita of the partner country, while economic distance had a negative influence on the model of trade flow of agricultural products between ASEAN countries. To support the flow of trade in agricultural products, it is necessary to rigid port infrastructure development in each country in the ASEAN region by increasing port capacity, port development, and facilities and infrastructure that support the efficiency of the export process and import of agricultural products. Improving the quality of agricultural products needs to be done to be in accordance with the standards of export destination countries and able to compete.

Development of Technical Schemes and Installations for Drying Agricultural Products and Obtaining their Powders using Solar Energy

This article discusses the development of a technical scheme for obtaining powders of agricultural products. This technology, developed by us using solar energy, takes into account the physical, mechanical, thermophysical properties of products, different periods of their ripening, as well as seasonal and daily changes in the density of solar radiation during the drying process of agricultural products. A technical scheme has been proposed for drying liquid-viscous agricultural products in solar drying installations of the radiation-convective type at different densities of solar radiation, i.e. at different times of the year, allowing products to be dried to low residual moisture to obtain their powders.

Identification of rice disease under complex background based on PSOC-DRCNet

Rice is a crucial agricultural crop, yet it frequently suffers from various diseases, leading to decreased yields and, in severe cases, crop failure. Diseases significantly affect rice growth and yield, resulting in economic losses and food security challenges. The role of image recognition in identifying rice diseases is critical in agricultural production. It enables automated and efficient detection of rice diseases, which is essential for effective management, ensuring food security and sustainable agriculture. To address issues like background noise and edge blurring in rice disease image capture, as well as challenges in determining the optimal learning rate during the training of traditional rice disease recognition networks, a novel method based on PSOC-DRCNet is proposed for rice disease recognition.. First, tto solve the problem of background interference, Dual Mode Attention (DMA) is proposed to adaptively capture meaningful regions in rice disease images. Second, the Residual Adaptive Block(RAB) is proposed, which utilizes dimensional changes and channel attention to solve edge blur problems. Then, a Cross entropy and regularized mixed Loss function (CerLoss), is proposed to optimize the learning strategy of the model in the process of processing datasets and enhance the performance and generalization ability of the model to avoid overfitting problems. Ultimately, In response to the cumbersome problem of finding the optimal learning rate, we propose using Particle Swarm Optimization Chameleon (PSOC) to find the optimal learning rate and train the PSOC-DRCNet model on our custom dataset and compare it with other existing methods and the final average classification accuracy of PSOC-DRCNet is 93.88% with an F1 score of 0.940. We compare it with other existing methods. It is proved that the average classification accuracy of our model under hyper-parameter unification is 92.65% F1 score is 0.928. We validated the PSOC-DRCNet by conducting comparative analyses with other models and through generalization experiments and module effectiveness tests. Additionally, the practicality of PSOC-DRCNet was confirmed through its application in real-world scenarios. The methods proposed in this paper successfully enable the identification of various diseases in rice leaves, offering a practical solution for incorporating deep learning into the agricultural production process. Furthermore, these findings serve as a valuable reference for disease identification in other crops.

Assessing Carbon Emissions from Animal Husbandry in China: Trends, Regional Variations and Mitigation Strategies

The intensification of land use and the accelerated integration of three industries (agricultural production, agricultural product processing industry, and agricultural product market service industry) in China have resulted in the continuous expansion of animal husbandry and its industrial chain. This phenomenon has led to a rise in greenhouse gas (GHG) emissions from livestock farming, intensifying climate change and placing strain on worldwide environmental conservation efforts. Life cycle assessment (LCA) was utilized to evaluate carbon emissions from China’s animal husbandry sector from 2012 to 2021. Additionally, the logarithmic mean divisia index (LMDI) decomposition method was employed to examine and elucidate the influential impacts of five factors on carbon emissions. These factors included the efficiency of animal husbandry production, the structure of the agricultural industry, per capita agricultural production income, urbanization, and the total population. The results reveal the following: (1) From 2012 to 2021, China’s animal husbandry sector witnessed a marginal increase in cumulative carbon emissions from 287.74 million tons to 294.73 million tons, with an annual growth rate of 0.42%. (2) Emission contributions were categorized as follows: the production stage (149.61 million tons), the transportation stage (145.07 million tons), and the processing stage (0.05 million tons). (3) The primary factor contributing to the rise in carbon emissions from animal husbandry from 2012 to 2021 was the per capita agricultural production income factor (A3), alongside a notable impact from the total population factor (A5).

Analysis of the Growth Response of Cassava Plants (Manihot Esculenta) to Variability in Water Availability

In recent decades, there has been a very pronounced climate change on earth. Reduced rainfall and the occurrence of long droughts are direct impacts that can trigger other problems in the agricultural sector such as crop failure and weakening food security. This will also have an impact on the process of growth and agricultural production in the Lampung Province area, especially on cassava plants. Water often limits the growth and development of cultivated plants. The response of plants to lack of water can be seen in their metabolic activity, morphology, growth rate, or productivity. Cell growth is the function of plants that are most sensitive to water shortages. Lack of water will affect cell turgor so that it will reduce cell development, protein synthesis, and cell wall synthesis. The cassava clones used in this study were Garuda Clones with 5 treatment levels, namely the first treatment (P1) 0L, the second treatment (P2) 0.5L, the third treatment (P3) 1L, the fourth treatment (P4) 1.5L, the fifth treatment (P5) 2L. The result of this study is that there is a cassava growth response to water availability in each treatment except for the variable number of shoots. In the variable plant height, significant response variations are obtained, and it is known that the availability of water needed is directly proportional to the response to plant height growth that also increases.

Agricultural land use in Vietnam in the context of urbanization: status and policy implications

Abstract This article generalizes the urbanization process and its impact on agricultural land use in Vietnam. The high rate of urbanization has led to a great demand for purchasing agricultural products, especially high-quality ones, and as a result, this affects agricultural development. On one hand, it offers new chances to expand the domestic market and to encourage exports. On the other hand, the conversion of agricultural land into non-agricultural land under accelerated urbanization leads to a large area of arable land being abandoned or polluted, consequently affecting food security and sustainable development. Therefore, to meet the people’s food needs in the context of urbanization, it is necessary to have proper solutions to improve the efficiency of agricultural land use, such as: implementing land laws aimed at developing agricultural production in the direction of large-scale, concentrated commodities; executing land-use planning, performing agricultural production planning towards specialized cultivation with a stable term to ensure profitable investment; boosting the restructuring of the agricultural sector; developing collective and cooperative economics in agriculture; having policies to support, forecast, and search for markets for consumption and the processing of agricultural products; creating a transparent land-use rights market.

Strategic approach to the application of economic levers in environmentally safe agriculture

This article examines the issue of application and implementation of economic levers for ecologically safe goods of agricultural origin as a part of a complex of measures of the general environmental policy of the state in the long term, which is regulated by the current norms of Ukrainian legislation. The toolkit for this category of goods is presented in the form of state and commercial means that regulate the sale and use of environmentally safe goods and services, not limiting their direction only to the greening of the production process of agriculture, but also to the comprehensive solution of modern problems of environmental awareness of society and solution of urgent problems of the economy of nature use. At the same time, both at the level of the average individual and at the level of the industrial consumer of agricultural resources, as well as the interests of the state in the context of ensuring environmental safety standards are taken into account. Consideration of this issue was carried out using the assessment of four categories of economic levers: taxes on ecological products of agriculture, tax differentiation of this category of goods, a system of incentives for the transformation of the agricultural production process to a resource-saving business model, the responsibility of producers for causing damage to the surrounding natural environment of the agricultural sphere as at the state level and at the level of individual producers. It was determined that each of these levers has certain advantages and disadvantages, as a result of which it is appropriate to use them in connection with certain measures within the framework of the general environmental policy for certain goods, while in other cases they are less effective. At the current stage of the development of the environmental policy of Ukraine, the main task is to determine the appropriate tools for solving a specific environmental problem, in particular — the post-war restoration of agricultural resources, the elimination of the consequences of the active phase of hostilities of the Russian-Ukrainian war in the medium and long term, as well as increasing the further level of environmental information support for the purpose of solving environmental problems of the post-war restoration of agricultural resources.

Purified Konjac Glucomannan as Thickener for Substituting Gelatin in Making Panna Cotta

A thickener such as gelatin is essential in increasing viscosity and forming a gel system. Nowadays, gelatin is one of the most popular thickeners in food, pharmacy, and cosmetic products. Animal skins which lead to halal issues are still common sources of gelatin. Crude konjac flour (CKF) which is sourced from porang tubers and has a high degree of purity of glucomannan (GM) is a potential substitute for animal skins. Moreover, the use of KGM also supports national programs of processing agricultural products into finished products ready to export. This study applies five different CKF variants as panna cotta (PC) thickener: CKF from the fresh bulb of porang (Amorphophallus oncophyllus sp.) (CH-UP), CKF from chips of Porang (CH-CP), a native CKF, as well as laboratory-purified products of CKF (&gt;90%-w of GM content) (DM-CKF-M3X-50, and DM-CKF-M3X-96), and commercially products of porang flour (K-TPO and K-TPM) were applied to make PC; substituting gelatin. Only CKF, DM-CKF-MX-50, and DM-CKF-M3X-96 successfully thickened PC in terms of appearances. Further, organoleptic analysis was applied to CKF, DM-CKF-MX-50, and DM-CKF-M3X-96. According to the organoleptic analysis, PC with CKF, DM-CKF-MX-50, and DM-CKF-M3X-96 was more preferred by the respondents than commercial PC. In overall, CKF application on PC exhibited improved sensory properties and tastes of PC.

Classify Tomato Fruit Images Using Convolutional Neural Network (CNN) Method

The agricultural and forestry product processing industry is developing very rapidly. The stage in the process of processing plant products is selecting products according to their quality, for example fruit ripeness. The process of selecting agricultural and horticultural products is often largely based on human perception of the color composition of fruit images (manual selection). The weakness of manual fruit classification is greatly influenced by the subjectivity of the classifier. To reduce subjectivity and manual methods, a Convolutional Neural Network (CNN) deep learning method is needed. Tomatoes are chosen for image classification based on color diversity, aiding accurate recognition through distinct ripeness variations. The aim of this research is to detect and recognize tomato images and determine its accuracy value by applying the CNN Deep Learning method. The first stage is preparing the required tomato image data set. The second stage is preprocessing and sorting the tomato image. The third stage is model formation and system training. The last is to carry out system testing. This research uses 14 tomato images which are used as testing data from 56 tomato images used in the training dataset. Testing tomatoes produces an average data testing accuracy value of 97%.

Controlling temperature using proportional integral and derivative control algorithm for hybrid forced convection solar dryer

Drying is one of the crucial processes in agricultural production, especially in grain processing. The drying process can improve grain quality and affect the grain content. However, maintaining the temperature is a challenge in the drying process. Because it can influence the drying performance and produce a low-efficiency reduction of water content, in this study, the hybrid drying system is proposed to improve the performance of the forced convection dryer system. The proposed system used a proportional integral and derivative (PID) control system to obtain the optimal temperature. The proposed system was compared with natural drying and forced convection methods. The experimental result showed that the proposed system performed excellently for three performance evaluations. The average temperature was obtained as the highest of the other methods, with 54.68 °C and 54.55 °C for coffee and cocoa beans. The water content can be reduced by an average of 27.38% and 42.67% for coffee and cocoa beans. Then, the proposed system also had the highest reduction efficiency of water content than the other methods, with 62.71% and 36.94% reductions for coffee and cocoa beans, respectively. The results indicate that the proposed hybrid system performs better than the other methods.

Development of an optimal mechanism for a solar-air collector for drying thermolabile products

The article presents theoretical and experimental studies about the alternative construction of energy-efficient solar air collector that generates heat based on alternative energy sources for the drying process of agricultural products. In particular, the geographical latitude of the place (φ), the angle of elevation of the sun to the horizon (h°), the angle of deviation of the sun (δ), and τ the interrelationships between the sun’s hour angles (τ) were studied. The patterns of changes in the wet air and dry air parameters entering the solar air collector were analyzed. The mechanism of efficient use of the heat generated in the solar air collector was developed. The kinetics of the process of drying spices at low temperature was studied.B NNBB. 1

Potential mapping and zoning division in the development of integrated organic areas in Kalurahan Patuk, Gunungkidul

This community service activity aims to map the potential of the village and establish zoning for the development of integrated organic areas in Patuk Village, Patuk Subdistrict, Gunungkidul Regency. The results obtained from this activity demonstrate that the residents of Patuk Village can comprehend the existing village potential, accompanied by mapping its various aspects. Additionally, this activity successfully enhances community knowledge and participation in determining zoning based on designated activities, facilitating the development of more targeted integrated organic areas. The mapped potential of Patuk Subdistrict includes physical and economic aspects (agriculture, plantations, animal husbandry, MSMEs). The proposed zoning for the development of integrated organic areas consists of Zone A as the center of subdistrict activities; Zone B as an organic training center; Zone C as an area for sustainable agriculture, livestock, and fisheries; and Zone D for waste processing and agricultural product processing.

Mechanism of influence of agricultural cooperation on the development of human capital of rural areas of Ukraine

The article is devoted to highlighting the impact of agricultural cooperation on the development of human capital in rural areas and substantiating the components and architectonics of the mechanism of this process. It is substantiated that one of the most promising forms of horizontal integration of small and medium-sized agricultural producers in Ukraine is cooperation, which is an objective necessity for the socio-economic development of both the agrarian sector of the economy and rural areas. It has been established that, depending on the species' activities, service cooperatives are divided into processing, procurement and sale, supply, service, and others, and the features of their tasks and functions in the process of economic activity are characterized. The efficiency of the functioning of agricultural service cooperatives in the European Union, aimed at improving management efficiency and protection from competition with monopoly structures in the processing and sale of agricultural products, is shown. The importance of developing agricultural service cooperatives to solve sales problems and increase energy efficiency in agriculture, particularly with the help of "green" energy cooperatives, is indicated. Attention is focused on the low quality of legal norms and the complexity of administrative and legal regulation of the activities of cooperatives, and the need for further support from the state and improvement of information support is determined. The groups of negative factors influencing the development of the agricultural service cooperative are generalized and disclosed, dividing them into three groups: State, economic, and organizational. A mechanism of influence of agricultural service cooperation on the formation and development of human capital in rural areas of Ukraine has been proposed. During the study, considering the negative factors influencing the development of the agricultural service cooperative, the architectonics of the mechanism of influence of agricultural service cooperation on the formation and development of human capital in rural areas of Ukraine, which can ensure the creation of economic, social, and environmental conditions for the formation and development of human capital in rural areas, was presented and substantiated. Keywords: agricultural cooperation, service cooperation, human resources, rural areas, development mechanisms.

Analysis and Optimization of Supply Chain Operation Performance of Characteristic Agricultural Products in County Region under Rural Revitalization Strategy

Under the background of China’s rural revitalization strategy, it is of great significance to analyze and optimize the supply chain operation of characteristic agricultural products in the county region to help agricultural products “go out of the village and enter the city”. According to the characteristics of county development, the SCOR model is improved, and the analysis framework of supply chain operation performance of characteristic agricultural products is constructed. Taking the characteristic agricultural products in LJ City, Zhanjiang as an example, the supply chain operation research and data collection are carried out, and the Cloud Model is used to evaluate and analyze the operation performance. It is found that there are some key problems in it, such as poor information sharing, low processing degree of agricultural products, poor matching between planning and demand, and high loss rate of product distribution. Some optimization suggestions are put forward, such as building an industrial information sharing platform, developing agricultural products processing industry, establishing small-scale associations for proprietary agricultural products and speeding up the construction of cold chain logistics, in order to provide reference for the optimization of supply chain operation of characteristic agricultural products and help the realization of rural revitalization strategy.

ОСНОВНЫЕ РЕЗУЛЬТАТЫ НАУЧНЫХ ИССЛЕДОВАНИЙ КРАСНОДАРСКОГО НАУЧНО-ИССЛЕДОВАТЕЛЬСКОГО ИНСТИТУТА ХРАНЕНИЯ И ПЕРЕРАБОТКИ СЕЛЬСКОХОЗЯЙСТВЕННОЙ ПРОДУКЦИИ – ФИЛИАЛА ФГБНУ «СЕВЕРО-КАВКАЗСКИЙ ФЕДЕРАЛЬНЫЙ НАУЧНЫЙ ЦЕНТР САДОВОДСТВА, ВИНОГРАДАРСТВА, ВИНОДЕЛИЯ» В 2023 ГОДУ

The main results of scientific research of the Krasnodar research Institute of storage and processing of agricultural products – branch of the FSBSI «North Caucasian Federal scientific center of horticulture, viticulture, winemaking», obtained in 2023 by scientists of the Institute in the implementation of the State order in 4 areas of scientific research, as well as data reflected the publication fecundity and patent activity. Research work was carried out in accordance with the PFSR in the Russian Federation for a long-term period (2021-2030) in the direction: 4.4.1 Storage and processing of agricultural products. Ensuring the priorities of the PFSR in the Russian Federation for the long term (2021-2030) provides for the need to conduct scientific research, the purpose of which is to develop algorithms for predicting the properties of biologically active substances based on molecular modeling methods, to identify patterns of controlled transformation of dietary fiber complexes, phospholipids and carotenoids using biotechnological and physico-chemical methods and, based on the identified patterns, to develop technologies for the production of beet pectin, modified phospholipids, lycopene and beta-carotene, as well as scientific research, aimed at identifying the mechanisms of microbiological, physiological, physico-chemical and biotechnological processes occurring in preparation for storage, storage and processing of vegetables (zucchini, eggplant, carrots and beets, tomatoes, leafy and cabbage vegetables), fruits (apples, grapes), for the development of resource-saving storage technologies based on the identified patterns. The results of scientific research have been published in 35 scientific articles, among them 11 articles in journals included in the core of the RSCI, in journals included in the list of the Higher Attestation Commission under the Ministry of Education and Science of the Russian Federation – 9 articles, in journals indexed in the international information and analytical citation systems Scopus – 3 articles, in materials and collections of scientific and practical conferences – 12 articles. 1 methodological recommendations have been published. Comprehensive score of publication performance: plan – 9.6, fact – 14.4. According to the results of the scientific research carried out, 6 patents of the Russian Federation for inventions were obtained and 2 certificates for computer programs, as well as 6 applications for alleged inventions were submitted to the FIIP.