Possible ways of improving agro-industrial complex using cross-cutting technologies

The digitalisation of agro-industrial production, time optimisation through the rapid exchange of information, the implementation of quick information about defects so that they can be corrected quickly, is currently of particular relevance. In the field of digital production such directions as "cloud technologies of information storage and processing", "artificial intelligence", "robotic production", "application of microcontrollers in programmable systems" are developing. The article deals with the application of end-to-end technologies in agro-industrial enterprises. The aim of this research is to develop software in Python programming language using OpenCV library, which aims at solving agricultural tasks by means of "machine vision". The economic calculation of the software cost is made, showing the benefit of the introduction of such technologies. Other variants of modernization of the agroindustrial complex production are offered.