Sustainable Development of Agro-industrial Complex and Food Security Through Digital Agriculture: Contribution of Robots, Big Data, and AI

The research aims to explore the prospects for sustainable development of the agro-industrial complex (AIC) and food security based on digital agriculture. Using regression analysis, the author models the contribution of robots, big data, and artificial intelligence (AI) to sustainable AIC and food security. As a result, the author identifies a significant contribution of digital agriculture based on advanced technologies (robots, big data, and AI) to the sustainable development of the AIC and food security. It is proved that the development of digital agriculture can fully ensure sustainable development of agriculture and food security in the Decade of Action. For this purpose, the author offers recommendations for developing robots, big data, and AI. The theoretical significance of the research lies in the fact that it proposes a new approach to managing the agricultural economy based on digital agriculture. The advantage of the new approach compared to the existing one is that it allows us to systemically address the causes of aggravation of the problem of sustainable development of the AIC and food security in the Decade of Action. The practical and social significance of this research is due to the fact that it supports the practical implementation of SDG 2. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.