Analysis of digital technologies in the agri-food sector based on big data analysis methods

Abstract

Digital technologies are becoming more and more in demand by various sectors of the economy because of the COVID-19 pandemic. The study of the digital technologies shows a need for a theoretical studying of forming a new digital model and analyzing the requirements for those technologies in the agriculture. The paper presents an approach to analyzing digital technologies in the agriculture, including robotic systems. As a result, we have formed a collection of full-text documents on robotics. The analysis of that collection reveals the dynamics and structure of international patenting and publications on that topic. The obtained results form the basis for developing the methodology of big data mining to such critical digitalization technologies as robotic systems.