Food Security in the Digital Economy: Traditional Agriculture vs. Smart Agriculture Based on Artificial Intelligence

Aleksei V. Bogoviz (), Vladimir S. Osipov (), Tatiana M. Vorozheykina (), Veronika V. Yankovskaya () and Igor Yu. Sklyarov ()
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Vladimir S. Osipov: MGIMO University
Tatiana M. Vorozheykina: Russian State Agrarian University—Moscow Timiryazev Agricultural Academy
Veronika V. Yankovskaya: Plekhanov Russian University of Economics
Igor Yu. Sklyarov: Stavropol State Agrarian University

Chapter Chapter 7 in Food Security in the Economy of the Future, 2023, pp 59-74 from Springer

Abstract: Abstract This chapter aims to compare the contribution to the provision of food security by traditional agriculture and smart agriculture and to develop the applied recommendations in the sphere of food security provision in the digital economy based on smart agriculture based on AI and deep learning. The originality of this research consists in the critical analysis of digitalization and consideration of traditional agriculture as an important alternative to smart agriculture. The novelty of this research is as follows: for the first time, traditional agriculture and smart agriculture are compared from the positions of non-profit effectiveness through the lens of their contribution to the provision of food security rather than the positions of commercial profit. The uniqueness of this research is that the perspectives of smart agriculture development are treated in a wider manner, to conform to the interests of the provision of food security (not in an isolated way, as a goal in itself). Due to this, we study—in a systemic manner—smart agriculture, which does not limit production and covers food distribution. The contribution of this research consists in substantiating the fact that smart technologies allow ensuring food security even in countries with conditions that are unfavorable for agriculture, while the refusal from digitalization does not allow ensuring food security in countries that are based on traditional agriculture. This conclusion demonstrated that there is no alternative to the digitalization and development of smart agriculture for the provision of global food security.

Keywords: Food security; Digital economy; Traditional agriculture; Smart agriculture; AI; Deep learning; Q15; Q51; Q54; Q55; Q56; Q57; O31; O32; O33; O38 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-23511-5_7

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DOI: 10.1007/978-3-031-23511-5_7

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