Agriculture and the agro-industrial complex are key sectors of the national economy; they provide
people with food required for any human activity. In the context of population growth and
limited territories, the problem of shortage of fi nal products of the agricultural sector, as well
as ensuring its high quality for all end users, comes to the fore. Modern breakthrough artifi cial
intelligence technologies can help solve this problem to a large extent. Nowadays this tool is
widely implemented in all economic sectors and, accordingly, there are no special obstacles to
its use in the fi eld of agriculture. This technology helps automate production and management
processes to a large extent, as well as detect interrelations in large amounts of unstructured
data. Thus, the goal of our paper is to generalize and systematize the knowledge about perspective
technologies of artifi cial intelligence in agriculture which will help provide the population
with qualitative food, and will also give the chance to the enterprises that implement
these technologies to gain the corresponding competitive advantages. The article systematizes scientifi
c knowledge about modern technologies of the agricultural sector, which successfully
introduces artifi cial intelligence technologies: robotics, photography and local fi xation of indicators,
and audio and video analysis. A list of positive effects from their implementation and
dissemination has been developed and presented. This publication will be useful for specialists
in the agricultural sector, as well as scientists and researchers dealing with issues and problems
of computer programming and modeling of artifi cial intelligent systems
Keywords
agro-industry, artifi cial intelligence, robotics, photo, audio and video recording, big data analysis