Siberian Journal of Life Sciences and Agriculture最新文献

{"title":"ABOUT A NEW LEVEL OF SELF-ORGANIZATION IN THE AGRICULTURAL MANAGEMENT SYSTEM","authors":"Valeriy V. Belozerov, Igor V. Voroshilov, O. Katin, Mikhail A. Nikulin","doi":"10.12731/2658-6649-2023-15-3-71-98","DOIUrl":"https://doi.org/10.12731/2658-6649-2023-15-3-71-98","url":null,"abstract":"Background. According to the UN FAO recommendations, it is necessary to produce one ton of grain for each inhabitant of the Earth for the production of bread and feed for livestock and poultry farming in order to obtain meat, milk, eggs, etc. However, the current level is 3 times lower, which confirms the relevance of the research. \u0000Methods and means. In the article, based on a systematic analysis of existing approaches in agriculture, a systematic synthesis of high-tech technological processes in agriculture, as well as fire protection of farmland and forests, was carried out. Examples of modern solutions in this area are given, including monitoring of farmland and forests using unmanned drones, small aircraft and helicopters. The latest developments in the development of airships for these purposes are described, including methods patented by the authors for detecting and fighting fires using gas separation nanotechnology to replace water with atmospheric nitrogen. \u0000Results. The conditions for self-organization of technological processes in agriculture are determined, on the basis of which the synthesis of the model of an \"agro-fire combine-airship\" is carried out, which combines \"inside itself\" not only the functions of fire extinguishing with separated atmospheric nitrogen, but also all agricultural technologies and precision farming techniques - \"without tractors, seeders, combine harvesters, trucks and land reclamation systems. The results of the \"energy assessment\" of the effectiveness of the introduction of domestic innovations in this area are presented. \u0000Conclusion. As a result of the research, it was concluded that agro-fire combines-airships can implement not only technologies for extinguishing landscape and forest fires, but also have an unrivaled quality in the organization of agriculture, due to the proposed integration of these innovative solutions.","PeriodicalId":21854,"journal":{"name":"Siberian Journal of Life Sciences and Agriculture","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45489717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"THE PROCEDURE FOR THE PARTICIPATION OF SMALL BUSINESS ENTITIES-AGRICULTURAL PRODUCERS IN THE PUBLIC PROCUREMENT PROCESS","authors":"S. N. Kovalenko, N. Prodanova, N.D. Georgadze, A.A. Sergeenkov","doi":"10.12731/2658-6649-2023-15-3-436-457","DOIUrl":"https://doi.org/10.12731/2658-6649-2023-15-3-436-457","url":null,"abstract":"Background. Currently, agro-industrial holdings occupy a dominant position in Russia, which creates certain imbalances both in the agricultural and processing industries of the agro-industrial sector of the economy. In this connection, it is necessary to create conditions for the full functioning of SMP-agricultural producers. For this purpose, cooperation, conclusion of contracts or participation in state and municipal procurement can be used. \u0000Purpose. Determination of the algorithm of participation of SMP-agricultural producers in the procurement process at the state and municipal levels. The work is theoretical in nature and is aimed at developing methodological approaches to the implementation of state and municipal purchases from agricultural producers. \u0000Materials and methods. The study is based on legislative and regulatory acts and, at the same time, on the opinions of various authors on the problem of the participation of SMEs in the contract system of state and municipal procurement. \u0000Results. In the course of the study, legislative and regulatory acts were considered in relation to procurement of various levels; an assessment of the participation of small businesses-agricultural producers in the field of public procurement was given; algorithms for the participation of this kind of entities in the procurement process were formed. \u0000Conclusion. As a result, various aspects and features of the participation of small businesses in public procurement were identified.","PeriodicalId":21854,"journal":{"name":"Siberian Journal of Life Sciences and Agriculture","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45544845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IMPROVEMENT OF WORKING CONDITIONS IN RURAL AREAS THROUGH THE FORMATION OF INFRASTRUCTURE FOR AGRICULTURAL SERVICES","authors":"V. Kuts, M. V. Abushenkova, P. Zhuravlev, V. Kurnosov","doi":"10.12731/2658-6649-2023-15-3-387-408","DOIUrl":"https://doi.org/10.12731/2658-6649-2023-15-3-387-408","url":null,"abstract":"Relevance of the study. The infrastructure of rural settlements has a significant impact on the quality of life of the rural population and, as a result, on the development of the infrastructure of the agro-industrial complex. \u0000Objective. The purpose of this study is to develop scientific and methodological provisions for improving the infrastructure of agricultural services. \u0000Materials and methods. The research methodology includes bibliographic analysis, as well as analysis of statistical data. To identify the most significant factors for ordinary agricultural workers, the method of expert assessments is used. \u0000Results. Studies have been conducted on the agro-industrial complex organizations of the Altai Territory. The main part of the article identifies external and internal factors that determine the quality of working conditions in agriculture. Using the method of expert assessments, the most significant factors for ordinary agricultural workers were identified. In order to introduce digitalization in the agro-industrial complex, software and hardware unmanned complexes designed to perform certain functions in crop production are considered. Digital solutions designed to perform the functions of interaction with suppliers, consumers and transportation of agricultural products are described. The issues of environmental safety of workplaces in the agro-industrial complex are considered. \u0000Conclusion. It is revealed that in order to effectively develop the infrastructure of rural settlements as a tool to improve the quality of life of the rural population, it is necessary to abandon the policy of maximum coverage in favor of a policy of concentrating efforts on a certain territory on the basis of a comprehensive plan covering all spheres of society and involving sectoral authorities in its implementation within a single project.","PeriodicalId":21854,"journal":{"name":"Siberian Journal of Life Sciences and Agriculture","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49415676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ECOLOGICAL MONITORING OF THE RECLAMATION PROCESSES OF THE QUARRY COMPLEXES OF CRIMEA","authors":"V. Kobechinskaya, O. Yarosh, Irina B. Prosyannikova","doi":"10.12731/2658-6649-2023-15-3-409-435","DOIUrl":"https://doi.org/10.12731/2658-6649-2023-15-3-409-435","url":null,"abstract":"The aim of the work was to study the temporal stages of primary syngenesis in a comparative assessment of the intensity of vegetation demutational processes and soil cover formation on the waste quarry-dump complexes in the steppe and foothill Crimea. \u0000Methods and materials. The studies were conducted in two quarries. The first one is located in the steppe part of the peninsula. It was producing limestone, the quarry is located near the city of Evpatoria. The second quarry is located in the foothill zone near Bakhchisaray. The study of the vegetation was conducted by geobotanical methods. The floristic composition, structure of composition and productivity of the corresponding communities were identified. When assessing the physical indicators of the underlying rocks and emerging soils were taken into account: the aggregate and microaggregate composition of soils, porosity and well of their structure by volume and specific weight of the solid phase. At chemical researches of soils the following parameters were defined: the maintenance of humus, composition of exchangeable cations, active acidity of aqueous extract, general alkalinity, ions Ca2+ and Mg2+. \u0000Results. Regional features of vegetation composition and soil-forming processes have been established. The process of regenerating biogeocenoses in the plain part of the peninsula was found to proceed faster than in the foothills. The processes of soil and vegetation syngenesis at the dumps during the biological recultivation are strongly stretched on the time scale and are still very far from the natural ecosystems even after 35-40 years. \u0000 Conclusions. Focusing on optimizing these areas through biological reclamation alone is problematic. It is necessary to plan mining-technical reclamation to return these territories to economic use.","PeriodicalId":21854,"journal":{"name":"Siberian Journal of Life Sciences and Agriculture","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42518241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IMPROVEMENT OF THE ORGANIZATIONAL AND ECONOMIC MECHANISM FOR THE DEVELOPMENT OF INVESTMENT ACTIVITIES IN THE AGRICULTURAL AND INDUSTRIAL COMPLEX OF SIBERIA","authors":"A. Tretyak, I. Vaslavskaya, A. Poltarykhin, Angelina A. Blagodatskaya","doi":"10.12731/2658-6649-2023-15-3-337-356","DOIUrl":"https://doi.org/10.12731/2658-6649-2023-15-3-337-356","url":null,"abstract":"The relevance of the work. The relevance of the study is due to the need to develop agro-industrial production at a new qualitative level, to increase the level of food security in the region by improving the organizational and economic mechanism for the development of investment activities in the agro-industrial complex. \u0000Objective. The purpose of this study is the development of scientific and methodological provisions for improving the organizational and economic mechanisms of investment activity in the agro-industrial complex of Siberian regions. \u0000Materials and methods. The research methodology is aimed at clarifying the basic principles of the formation of the organizational and economic mechanism for the development of the food and processing industry, taking into account the sectoral features of innovative development. \u0000Results. In-depth studies were carried out on the organizations of the agro-industrial complex of the Novosibirsk region. The main part of the article discloses indicators characterizing the development of Russian agriculture in 2017-2020, as well as indicators of innovative activity in agriculture for 2017-2021. Shows the share of investments aimed at the reconstruction and modernization of fixed assets in Russia, as a percentage of the total investment. The mechanism of subsidizing to compensate for the costs incurred for the construction (modernization) of agribusiness facilities is considered. The main directions for improving the organizational and economic mechanism of the investment process in Siberian agriculture have been developed. \u0000Conclusion. In conclusion, scientific provisions are formulated to improve the organizational and economic mechanism for the development of investment activities in the agro-industrial complex.","PeriodicalId":21854,"journal":{"name":"Siberian Journal of Life Sciences and Agriculture","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46881099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"APPLICATION OF MACHINE LEARNING ALGORITMS FOR HEART DISEASE PREDICTION","authors":"Anna I. Pavlova","doi":"10.12731/2658-6649-2023-15-3-475-496","DOIUrl":"https://doi.org/10.12731/2658-6649-2023-15-3-475-496","url":null,"abstract":"This paper focuses on the application of machine learning algorithms to predict cardiovascular diseases (CVDs). Every year a large number of deaths are registered all over the world. According to the World Health Organisation, CVDs are the leading cause of high mortality in the world. One of the necessary preventive measures to reduce mortality from CVDs is the timely prediction of diseases in people at high risk of such diseases. Specially developed scales and machine learning algorithms are now being used for the timely prediction of CVDs.
 Background. To predict heart disease, algorithms are often used: naive Bayesian classifier (Gaussian Naïve Bayes Classificator, GNBC), k-nearest neighbours (K-Nearest Neghboors, KNN), decision tree (Decision Tree, DT). In domestic literature, there are known works devoted to the application of SWD prediction using Adam gradient algorithm in deep neural network training. One of the necessary conditions for increasing the predictive ability of a machine learning model (MLM) is the optimal selection of hyperparameters. The choice of the optimal hyperparameters is often made on the basis of empirical experience.
 Purpose. To explore the specific application of machine algorithms to the prediction of heart disease.
 Materials and methods. Scientific novelty of the work. In this research we analyse machine learning algorithms for predicting the risk of CVDs using the approach of automatic search for hyperparameters MMO. The following algorithms were used to construct MMOs: NBS, KNN, DT, Logistic Regression, Support Vector Machine (SVM), Random Foorest (RF), Complement Naïve Bayes Classificator (CNBC), Linear Discriminant Analysis (LDA), Radial Basic Function (RBF), Gradient Boost (XGBoost). To evaluate the accuracy of machine learning models we used the following indicators: mean absolute error (MAE), precision, completeness (recall), F-measure (F-beta), False Positive Rate (FPR), False Negative Rate (FNR). Additionally, visual analysis of ROC curve (receiver operating characteristic) and areas under the curve (areas under the curve, AUC) were used to analyse the results of MMO. Using AUC value allows to estimate prognostic ability of MLM.
 Results. The training results showed that RF and XGBoost algorithms are characterized by higher accuracy. With optimal selection of MMO parameters, the overall classification accuracy was 0.88 and 0.94 respectively.
 Conclusion. The application of machine learning algorithms allows predictive models to be built with high accuracy. This requires the construction of a machine learning model. The ensemble machine learning algorithms RF and XGBoost have higher accuracy rates than the following algorithms: decision trees, Bayesian classification methods, logistic regression, linear discriminant analysis.","PeriodicalId":21854,"journal":{"name":"Siberian Journal of Life Sciences and Agriculture","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136300560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"APPLICATION OF BIG DATA TECHNOLOGIES TO ASSESS THE NATURAL MOISTURE OF THE TERRITORY","authors":"A. I. Pavlova","doi":"10.12731/2658-6649-2023-15-3-139-154","DOIUrl":"https://doi.org/10.12731/2658-6649-2023-15-3-139-154","url":null,"abstract":"Due to the sharp changes in climatic conditions in Western Siberia, the most pressing problem is food security associated with forecasting crop yields. There is a need to estimate the natural wetness of the area on the basis of agroclimatic indicators, among which the sum of active air temperatures and precipitation is currently the most widely used. \u0000Background. However, for a comprehensive assessment of the wetness of the territory, it is necessary to take into account the climate energy resources associated with evaporation of different time resolutions (day, decades, months, vegetation period, year). The initial meteorological parameters are described in the form of poorly structured information of a large volume. Therefore, various technologies and algorithms of machine processing are used in the work. \u0000Purpose. The application of big data technologies to assess the natural moisture of the territory \u0000Materials and methods.  With the help of the high-level Python programming language and engineering libraries, a comprehensive assessment of the territory was carried out using the example of Mirny of the Kochenevsky District of the Novosibirsk Region in the context of long-term average data and two years 2019 and 2020. That the use of machine processing technologies related to NoSQL data requests, creation of data set and big data slices allows to store and process meteorological parameters using cloud services of different time resolution. This makes it possible to significantly reduce the time for a comprehensive assessment of the territory according to agroclimatic parameters. As a result of the work, precipitation distribution, temperature, relative air humidity, evaporability, humidification coefficients (Ivanov-Vysotsky and Selyaninov hydrothermal coefficient) were obtained. \u0000Results. The paper proposes to use technologies of big data processing using Python, including pre-processing of poorly structured hydrometeorological data, execution of NoSQL queries, compilation of summary reports on agroclimatic parameters. Pre-processing consists of processing hourly meteorological data, filling gaps in the data, making slices in big data to process multi-temporal queries (day, month, growing season, year). By the example of Mirny farm in Kochenevsky district of Novosibirsk region (Russian Federation), big data processing was performed to calculate agroclimatic parameters to assess the natural moisture content of the area and  yield forecasting. \u0000Conclusion. The practical significance of the work is as follows: \u0000- the application of big data processing technologies has significantly reduced the time for the labor-intensive process of assessing agrometeorological parameters; \u0000- obtained aggregated meteorological parameters of different temporal resolution (hours, days, decades, months) allowed us to identify a strong variability of agroclimatic conditions for the territory of Mirny farm Kochenevsky district, located in the forest-steppe zone of We","PeriodicalId":21854,"journal":{"name":"Siberian Journal of Life Sciences and Agriculture","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49082033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MORPHOTYPIC COMPOSITION AND DIFENOCONAZOLE SENSITIVITY OF APPLE SCAB PATHOGEN POPULATIONS THAT DIFFER IN THE HISTORY OF FUNGICIDE APPLICATION","authors":"A. Nasonov, Mariya V. Bardak","doi":"10.12731/2658-6649-2023-15-3-219-238","DOIUrl":"https://doi.org/10.12731/2658-6649-2023-15-3-219-238","url":null,"abstract":"Scab is one of the most harmful diseases of the world's main fruit crop, the apple tree. \u0000Purpose. To evaluate the fungicide influence on the population structure of Venturia inaequalis, by its sensitivity to difenoconazole and morphotypic composition. \u0000Materials and methods. The study was conducted on 88 monospore isolates isolated from two populations of V. inaequalis. The baseline population, which was not treated with fungicides, was selected from natural populations of Malus orientalis. A population of commercial apple orchards was treated with difenoconazole. The sensitivity of isolates was evaluated under laboratory conditions by mycelial growth at different fungicide concentrations and expressed as effective 50% concentration (EC50). Morphotypes were distinguished by comparing photo-images of isolates with morphotype images in a database. \u0000Results. The populations differed in their sensitivity to difenoconazole at a high level of significance (p≤0.003), with median EC50 values of 0.5 and 2.5 mg a.i./l. The resistance factor of the orchard population had a value of 22. Morphological analysis of the isolates also showed an uneven distribution of morphotypes in the populations. Of the 15 morphotypes isolated, 73 % were unique to a particular population. A medium positive correlation between the traits \"morphotype\" and \"fungicide sensitivity\" was found. \u0000Conclusion. For the first time, a change in the population structure of Venturia inaequalis under the influence of a fungicide was shown not only for a trait under selection pressure (sensitivity), but also for an evolutionarily neutral trait, morphotypic composition.","PeriodicalId":21854,"journal":{"name":"Siberian Journal of Life Sciences and Agriculture","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42428697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PRODUCTIVE AND BIOLOGICAL CHARACTERISTICS OF RUSSIAN MEAT MERINOS SHEEP WITH DIFFERENT LINEAR SELECTION","authors":"E. Chernobai, Sergey A. Oleinik, Olga N. Onishchenko, S. Litvinov, A. Surov","doi":"10.12731/2658-6649-2023-15-3-175-196","DOIUrl":"https://doi.org/10.12731/2658-6649-2023-15-3-175-196","url":null,"abstract":"Line breeding is a difficult but effective zootechnical process in purebred sheep husbandry. Linear sheep consistently transmit their characteristics to offspring in order to increase and identify the most promising genotypes, characterized by high productivity and breeding efficiency, by detecting interline selection. The main purpose of the work was to identify the most suitable options for intra- and interline selection of the Russian meat merino breed. The article studies the early development of animals’ growth and physique, the high rates of animals, live weight in different age periods, slaughter and meat qualities. We established that young animals obtained by mating between the animal lines VK-40 and ME-50 were characterized by more proportional body shapes, better slaughter and meat qualities. The increase in live weight of lambs obtained by mating queens of the VK-40 line and rams of the ME-50 line (group III) was more intense than their peers from the intraline selection of the VK-40 line (I group) and of queens of the line AC- 30 with ME-50 rams (group II). The heaviest carcasses were in lambs obtained from the mating of queens of the VK-40 line and rams of the ME-50 line (13.26 kg), the weight of the carcass was greater, compared with the same indicator of the peers of groups I and II, respectively, by 7.7% and 4.0%, by internal fat mass – by 21.8% and 9.8%, by slaughter weight – by 8.3% and 4.3%.","PeriodicalId":21854,"journal":{"name":"Siberian Journal of Life Sciences and Agriculture","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45922323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ORGANIC SUPPLY CHAIN MANAGEMENT PRODUCTS IN FOOD CLUSTERS: REGIONAL ASPECT","authors":"O. Voronkova, L. Petrova, Alexandra Yu. Mezhova, I. Anufrieva, A. A. Slukina","doi":"10.12731/2658-6649-2023-15-3-99-118","DOIUrl":"https://doi.org/10.12731/2658-6649-2023-15-3-99-118","url":null,"abstract":"Background. A number of organizations interact in the supply chain of organic products - manufacturers, warehouses, distributors, carriers, wholesale and retail buyers involved in the formation of material, financial, information and service flows from the source of raw materials to the final consumer. \u0000Purpose. It consists in the development of principles of supply chain management of organic products in the food system of the region \u0000Materials and methods. The methodological and theoretical basis of the research was the work of domestic and foreign scientists on the management of the supply of organic products in regional food systems. In particular, for a practical example, the Altai Territory was chosen as an ecologically clean region with sufficient land, labor and production resources for the development of organic agricultural production and processing of organic products. In the course of the work, analytical, abstract-logical, monographic and other research methods were applied. \u0000Results. It is advisable to manage the promotion of organic products in the food system of the region with the help of innovative digital technologies, in particular blockchain, as well as through the system of agricultural information and consulting centers, organization of presentations of organic products, advertising campaigns, participation in exhibitions and fairs at the regional and Russian levels, the opening of \"green\" shelves by retailers in their networks. The development of organic agriculture in the Altai Territory can have a significant positive effect on the level of economic, social and environmental development of rural areas of the region by activating the regional market of organic agricultural products, involving unused land resources in the production turnover, using innovative technologies in the agro-industrial complex, increasing the employment of rural residents, activating the ecotourism sphere, increasing the economic sustainability of agro-industrial organizations region. \u0000Conclusion. The development of integrated solutions to these problems with the proper level of coordination of all participants in the supply chain of organic products contribute to the formation of a developing global market for organic raw materials and food, affecting agricultural production models, distribution of income and costs, the introduction of digital technology innovations, the greening of the agro-industrial sector, the development of the economy of agricultural regions.","PeriodicalId":21854,"journal":{"name":"Siberian Journal of Life Sciences and Agriculture","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49303411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}