The impact of technological advances in all industry sectors is being felt and, thus, there is no doubt that digital transformation will have significantly affect Lithuanian manufacturing sector. In order to assess the extent to which Lithuanian processing industry companies are digitalized, an in-depth descriptive analysis of installed digital technologies in these companies was executed.  The goal of this analysis – to determine whether Lithuanian companies of processing industry has been sufficiently digitalized and are ready to completely adopt the principles of Industry 4.0 in the installation of digital solutions within all segments of the value-chain creation. The research on already-applied digital tools and technologies in those companies was made during the phase of analysis.  There was also an attempt to define the most digitalized processes of operation and the least or non-digitalized processes of operations in those companies. After the assessment of a current digitalization level in the company was made,  there was an attempt to clarify the strengths and problematic challenges as well as the underlying reasons for its challenges. After the above-mentioned data was collected, recommendations on which additional tools and means to apply in order to encourage the process of digitalization in the companies were formulated and passed on to the companies.

The purpose of the study was to analyse and evaluate the institutionalization of the agricultural market in Ukraine and the European Economic Community. The authors conducted a study devoted to the analysis of the regulatory and legal framework in the field of market economy building and state regulation of the agricultural market in Ukraine during the 1990s - 2020s. It is substantiated that the shortcomings of market reforms and dysfunctions of the agrarian market due to lack of scientific understanding of the role of the factor of normative and legislative support of the processes of market reforms in general, the formation of sectoral markets, as well as their effective functioning by the criterion of timely response to dysfunctions. The study was based on systematic and benchmarking methods. The tasks of the study were solved using such methods as: systematic, historical, deductive, inductive, analysis and synthesis, statistical and comparative analysis. The theoretical provisions of institutional theory in the context of the formalization of the agrarian market institute in Ukraine and the European Economic Union and proved the need to follow the logical coherence and complexity of its institutional support as a necessary element of market reforms in the study has further developed. A model of the process of institutional support of market reforms in Ukraine is proposed. The final stage of the institutionalization of the agrarian market in Ukraine is the achievement of conditions of equivalent market exchange.

The approach, algorithm, and intelligent system of support of decision-making of management for forecasting of time fund for the performance of the mechanized chemical protection of plants are offered. They are based on the formation of a database and knowledge of the weather from the Open Weather Map service for individual countries and their regions. They provide the formation of databases and knowledge for a given country or its region, taking into account the characteristics of natural, climatic, and industrial conditions based on computer modelling. Also, the proposed intelligent management decision support system provides a systematically accountable set of variable agrometeorological components of the mechanized chemical plant protection system and their impact on the projected time fund of the relevant work. Based on the use of the developed intelligent system of support of acceptance of administrative decisions forecasting of time fund for the performance of the mechanized chemical protection of plants and the set natural-climatic and industrial conditions is executed. The climatically admissible time fund model for mechanized chemical protection of plants during the day for May, which is described by Weibull distribution, is substantiated. The obtained research results can be used by managers of agricultural enterprises during the management processes of forecasting the time fund for the implementation of mechanized chemical plant protection. The developed intelligent decision support system provides further research on forecasting the time fund for the implementation of mechanized chemical plant protection and substantiation of its models for different countries and their regions.

A significant part of the output of the agro-industrial complex of Ukraine is exported. Therefore, it is desirable to determine the optimal volume of products to be implemented each month. Prices for grain are formed depending on demand and supply, costs for production and sale, market fees, etc. The analysis of the price situation on the Ukrainian cities shows a large variation. The average price of 1 kg of grain crops does not give a full opportunity to characterize the price situation of the Ukrainian grain market. There is seasonal price cyclicality: their growth with the decrease of stocks and the reduction after harvesting, when mass sales of grain are carried out by producers who are not able to store the grown crops, and consumers make grain crops. In the article the solution of the economic-mathematical model of optimization of the calendar plan for the sale of agricultural products is developed and found. The model is considered from the standpoint of deterministic product prices and under the probabilistic nature of future market prices. The system of restrictions consists of two constraints: to determine the optimal size of grain crop harvesting of each type and the capacity of the warehouse. If future market prices are considered not deterministic, then the commodity producer always has the risk of receiving in the future revenue from the sale of products smaller than expected. A risk-averse person will be guided by two criteria when deciding to: maximize the expected total net income and minimize the dispersion of total net income. In this case, the model will be two-criterial and nonlinear. The method of supporting the process of determining the predominance of multi-criteria optimization is that the owner first of all has received information about the limits of the variation of the expected total net income and the standard deviation of income on the set of effective options for the calendar plan. The peculiarities of the individual attitude to risk are calculated by drawing information on the permissible levels of the indicated criterion. Further among all effective variants of the calendar plan of realization is calculated precisely the one that best reflects the individual predominance of the owner of the product. The following information is needed to construct a numerical model for grain sales: sales prices and the cost of storing 1 ton of grain crops to a certain month. The predicted values are based on a simple linear econometric model based on statistical sampling. The reliability of the econometric model is determined by the determination coefficient or on the basis of Fisher's F-criterion according to the theory of statistical hypotheses. Econometric models have weak extropolitic properties, so the forecast can be formed only short-term. The solution of the model showed: all kinds of grain crops, except for barley, are economically unprofitable to be implemented in such months as January, May, June, July and August. Wheat grades 3 and 6, corn is also unprofitable to be sold in September. Unlike other crops, barley is beneficial throughout the year. In February, the maximum sales of wheat is 2, 3 and 6 classes, in March the maximum sale of barley, and the minimum is in May. Maize has the maximum sales in May, and the minimum in September. The minimum sale of wheat depends on its class – September, April and December respectively 2, 3 and 6 classes. With such incomplete loading of warehouses, the profit from storage of grain crops will be 743 thousand. UAH. Thus, PJSC “Gnivan Grain Reciprocal Enterprise” is more likely to load its warehouses to improve its financial position. One of the ways of solving the problem of seasonal grain sales is to create a network of modern certified grain elevators, taking into account the logistically rational location, which will allow to keep enough grain in addition and of the proper quality. This will allow an increase in the efficiency of grain producers through the sale of grain at favorable market conditions in a wider range of time. Independent operators should also be encouraged to ensure that the quality of the grain is objectively measured. At present, the analysis of the work of the grain storage system shows that the high cost of services of active elevators is also a problem.

Subject of research – a set of relations that are formed in the process of improving the organizational and economic mechanism for regulating the innovative development of aquaculture in Ukraine. The proposals to ensure a competitive environment in the field and modernization of the data collection system are practical used. The purpose of the article. Development of scientific and methodological and practical proposals to ensure organizational and economic regulation of the aquaculture sector in a competitive environment and innovative aquaculture development and modernization of the data collection system. The methodology of the work. The theoretical and methodological basis of the research is the system of both general scientific and special methods of scientific knowledge, the fundamental positions of modern economic theory and practice. The scientific work uses such methods as monographic – in the formulation of approaches that establishes a coherent set of rules for regulating the collection of information on the state of the environment, technical and socio-economic parameters of the sectors of aquaculture and fish processing, economic and statistical – in determining and calculating the main indicators of production aquaculture. The results of the work – proposed to use in practice the results of the developed system of information gathering, which establishes an agreed set of rules for regulating the collection of information on the state of the environment, technical and socio-economic parameters of the aquaculture and fish processing sectors. Conclusions. The modern measures and tools of the organizational and economic regulation mechanism are proposed for solving problematic aspects of the development of the fish industry in order to provide a competitive environment and modernize the data collection system. The competitive advantages of linen, pike perch and mines are substantiated. It is proposed to adapt the measures to create an effective system for monitoring the quality and safety of products of aquaculture and its origin, as well as to modernize the existing data collection system based on the provisions of the Data Collection Regulation (DCR) No. 1543/2000 dated June 29, 2000 and the Data Acquisition System (DCF), support of fisheries science and education to ensure the competitive development of Ukraine’s fisheries. The instruments of aquaculture regulation are proposed to create a competitive environment. It is proved that it is necessary to introduce such rules that would meet the interests of the authorities, aquaculture business and society.