Abstract
The article presents the prospects of digitalization and use of artificial intelligence technologies in the technical modernization of the agro-industrial complex (AIC). In order to improve the efficiency of agricultural industry, including the productivity and quality of products in such sectors as crop production, livestock, processing of agricultural products, a transition to innovative technologies is required. Their use in agricultural production makes it possible to significantly competitiveness of the agricultural sector of the economy of the Russian Federation. To do this, the technical modernization of the agro-industrial complex, which provides for the renewal of its base with domestic agricultural machinery is required. In modern machines, a large number of electronic systems with various sensors are involved. They allow to control the operation of various units, including the internal combustion engine, transmission, work tools and other mechanisms. The use of such systems makes it possible to reduce the cost of maintenance and use of equipment, to monitor the modes of operation and technical condition of equipment around the clock, to conduct repair and maintenance activities as required. The current global trend is the use of remote machine diagnostics systems. They allow service centers and emergency support to diagnose a vehicle at a distance, reducing downtime. In recent years, there has been a trend towards digital solutions in machine maintenance. 3D technologies are promising for repair of agricultural machinery, including restoration and hardening of parts. They can be used to measure the geometric dimensions and determine the physical and mechanical properties of part faces of agricultural machines during the incoming inspection of spare parts and fault detection of parts, by scanning them. The introduction of digital technologies and artificial intelligence in the repair practice will reduce the duration of repair and maintenance actions during the technical service of agricultural machinery and significantly reduce the cost of their implementation.
Highlights
To ensure the sustainable development of agriculture, it is necessary to develop and implement new equipment and technologies that increase labor productivity, energy efficiency, resource saving and reduce environmental pollution
Studies are currently underway to replace fuels, oils, and various preservative materials of petroleum origin with alternatives, including those based on vegetable oils [1,2].The technical modernization of the agro-industrial complex includes large-scale digitalization and the use of artificial intelligence technologies
One of the areas of digitalization and use of artificial intelligence technologies in technical modernization of the agro-industrial complex is the introduction of telemetry systems and monitoring of indicators of efficiency of use of agricultural machinery into engineering practice [9,10,11,12,13]
Summary
To ensure the sustainable development of agriculture, it is necessary to develop and implement new equipment and technologies that increase labor productivity, energy efficiency, resource saving and reduce environmental pollution. The agro-industrial complex is already using systems of parallel driving of agricultural machines, telemetry and monitoring of tractors and combine harvesters, the introduction of precision agriculture technology, the use of the Internet of things, drones, robotic devices. The trend in foreign countries is the use of remote (distant) machine monitoring systems Such systems allow to reduce operating costs for the maintenance and use of agricultural machinery, to carry out round-the-clock monitoring of operating modes and the technical condition of machines, to carry out repair and maintenance actions to maintain their operability according to the need [4,5]. The most developing area of “digital” production is the use of 3-D technologies, which are called additive technologies They are promising in repair of agricultural machinery, for example, in manufacture of spare parts and recovery of parts [6]. The introduction into practice of digital solutions for technical service will reduce downtime and costs for the maintenance and operation of equipment, as well as increase the coefficient of technical readiness of population of machines [7]
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