Abstract
Background. Agriculture is a leader in the export of our country,butthere is no comprehensive systemic approach in Ukraine and in the world to the development of enterprises in this industry based on the use of information technology in terms of the concept of the Fourth Industrial Revolution. An analysis of recent research and publicationshas shown that there are some scientific achievements, but an important scientific and practical problem of a comprehensive strategy for digitalization of agricultural enterprises remains unresolved. The aim of the article is to study the current state of implementation of information technologies in Ukrainian agricultural enterprises, to identify unresolved problems of agricultural enterprises digitalization. Materials and methods. Methods of system analysis and synthesis, marketing researches, statistical and comparison were used in the paper. Results. Scientific hypotheses have been put forward regarding the need to create and implement a comprehensive concept of digitalization of agriculture – "Smart agricultural", which is a set of software and hardware that provides automated collection and transmission for processing all necessary data for management decisions in the agricultural sector. Based on the results of this study, the theoretical foundations for the development and application of intelligent systems in the agricultural sector and the use of automated workplaces in control systems have been developed. The main groups of hardware and software used for industry automation are considered. At detailed consideration of application of the specified technological directions, there are non-systematic application, absence of software for systematic fixing and control of parameters for the further analysis. Conclusion. The results of the development ways analysis of the "Agriculture 4.0" ("SmartFarm") concept for its application at the Ukrainian agricultural enterprises allowed to allocate four technological directions: aerospace technologies; Internet of Things (IoT); information and communication technologies; Big Data and Machine Learning. The main achievements in each technological direction, available developments and ways of their application are considered. We found out that technological and technical means are used to ensure the quality development of the agricultural sector, but most technologies are used for operational processes and control of the enterprise current state. The study demonstrates that the big data technology and machine learning, which are the most important for the creation of automated jobs are not developed completely. Keywords: management system, intelligent systems, machine learning, digitalization of agricultural sector.
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