Assessment of the Potential of Digital Technologies in the Implementation of Deep Cycles of Grain Products Processing

Abstract

Abstract Improving the technological component of agro-industrial production through the introduction of digital technologies accelerates the pace of economic growth and contributes to ensuring food security. The adaptation for agriculture of digital technologies already used in various industries is particularly relevant, and their integrated use is more effective. Artificial intelligence systems and, in particular, computer vision have significant prospects for implementation in the production and processing of agricultural products. Computer vision and image processing procedures can be used to control product quality and processing cycles in order to improve the efficiency of production processes. In each processing cycle, it is necessary to control the technological parameters and the quality of the processed raw materials, the results of which affect the duration, the number of operations and the conditions of the processing process. The use of the developed luminescent method to control the moisture content and particle size makes it possible to increase the efficiency of technological processes for processing grain products. The development of an innovative complex for deep processing of grain, as an example of application of new production technologies, is a promising current direction in the development of agricultural production. Increasing production efficiency is based on a significant expansion of the range of finished products, on an increase in the added value of processed products and on a slight decrease in capital costs due to the combination of processes. The increase in the potential for using various end-to-end digital technologies in agro-industrial production is facilitated through their combination and integration into complex systems for digitalization of production, which ensure the development of the agro-industrial complex.