Agro-Industrial Complex (AIC) Sustainable Development and Food Security powered by Robots, Big Data and AI in Digital Agriculture

Published: 6 December 2022| Version 1 | DOI: 10.17632/xrt2zj6bkz.1


The dataset contains the following statistics: 1) Global Food Security Index 2022 (The Economist Intelligent Unit, 2022); 2) The result of the implementation of the sustainable development goal number 2 (SDG Goal 2 Score,) at the end of 2022 (UNDP, 2022); 3) Industrial robots per 10,000 employees in the manufacturing industry (International Federation of Robotics, 2022); 4) Use of big data and analytics 2022 (IMD, 2022). The dataset contains statistics for 38 countries of the world with different economic and geographical characteristics. Countries are organized into the following categories: E. Europe & C. Asia; East & South Asia; LAC; OECD Africa; OECD, Asia; OECD, Europe; OECD, North America; OECD, Oceania; OECD, South America; Sub-Saharan Africa.


Steps to reproduce

Sources of data systematized in the dataset: 1. IMD (2022). World Competitiveness online. URL: (data accessed: 02.12.2022). 2. International Federation of Robotics (2022). Ranking of countries according to the density of industrial robots. URL: (data accessed: 02.12.2022). 3. The Economist Intelligent Unit (2022). Global Food Security Index 2022. URL: (data accessed: 02.12.2022). 4. UNDP (2022). Sustainable Development Report 2022. URL: (data accessed: 02.12.2022). The dataset has been created and allows for a factor analysis of the sustainable development of the agro-industrial complex and food security. In particular, the dataset allows assessing the contribution of digital agriculture using robots, Big Data and AI to the sustainable development of the agro-industrial complex and food security.


Moskovskij gosudarstvennyj institut mezdunarodnyh otnosenij MID Rossii


Artificial Intelligence, Agricultural Economics, Climate Change, Robot, Agribusiness, Application of Big Data, Digital Economy