Responsible Production and Consumption in Agriculture 4.0 Based on Deep Learning for Sustainable Development
Yerlan B. Zhailauov (),
Natalia V. Przhedetskaya () and
Vasiliy I. Bespyatykh ()
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Yerlan B. Zhailauov: “Rational Solution” LLP
Natalia V. Przhedetskaya: Rostov State University of Economics
Vasiliy I. Bespyatykh: Vyatka State University
Chapter Chapter 15 in Food Security in the Economy of the Future, 2023, pp 139-146 from Springer
Abstract:
Abstract The paper aims to explore the international experience and justify the benefits of responsible production and consumption in agriculture 4.0 based on deep learning for sustainable development. To determine the contribution of responsible production and consumption to food security, this paper applies the method of regression analysis. This method is used to find the dependence of the results in the implementation of SDG 2 on the achievements in the implementation of SDG 7. To determine how responsible production and consumption in agriculture can be integrated into a system of 17 SDGs, the authors conducted a qualitative study that considers deep learning opportunities. As a result, it is demonstrated that responsible production and consumption in agriculture 4.0 based on deep learning can improve the sustainability of all production and distribution processes: from the involvement of factors of production (shown using labor, land, and capital as an example) to their transformation into finished products and their sale, as well as the disposal of waste. The theoretical significance of these results is that they substantiate the benefits of responsible production and consumption in agriculture 4.0 based on deep learning for sustainable development and reveal the potential of systemic implementation of all 17 SDGs in the agricultural economy.
Keywords: Responsible production and consumption; Agriculture 4.0; Deep learning; Sustainable development; Systemic implementation of the SDGs; D12; M14; Q01; Q13; Q16 (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_15
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DOI: 10.1007/978-3-031-23511-5_15
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