This book explores issues of agricultural development and the provision of food security, providing a core framework and recommendations for implementing sustainable development goals in these areas. Focused on the period up to 2030 to match the timeline of the SDGs, the book surveys the current landscape and the prospects for agricultural development, demonstrating how Agriculture 4.0 based on AI and deep learning must follow from digitalization as the next step to ensuring food security. It brings together research based on analytical and statistical data, including the IMD World Digital Competitiveness Report and the Food Security Report from the Economist Intelligence Unit, and reliable mathematical tools including correlation and regression analysis, forecasting with histogramming, probability estimates, and the simplex method, as well as Game Theory methodology and the hierarchical procedure method of Thomas Lorie Saaty to forecast international scenarios for food security inthe future economy. Containing theoretical and practical insights, the book will be of interest to those studying agricultural economics, the digital economy, and concepts of Agriculture 4.0 and Industry 4.0.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Elena G. Popkova is a Leading Researcher at Moscow State Institute of International Relations (MGIMO University), and the President of the Institute of Scientific Communications, Russia.
Bruno S. Sergi is an Instructor at Harvard University, USA. He is also an Associate of the Harvard's Davis Center for Russian and Eurasian Studies and the Harvard Ukrainian Research Institute. He teaches Political Economy and International Finance at the University of Messina, Italy.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book explores issues of agricultural development and the provision of food security, providing a core framework and recommendations for implementing sustainable development goals in these areas. Focused on the period up to 2030 to match the timeline. N° de réf. du vendeur 757483086
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores issues of agricultural development and the provision of food security, providing a core framework and recommendations for implementing sustainable development goals in these areas. Focused on the period up to 2030 to match the timeline of the SDGs, the book surveys the current landscape and the prospects for agricultural development, demonstrating how Agriculture 4.0 based on AI and deep learning must follow from digitalization as the next step to ensuring food security. It brings together research based on analytical and statistical data, including the IMD World Digital Competitiveness Report and the Food Security Report from the Economist Intelligence Unit, and reliable mathematical tools including correlation and regression analysis, forecasting with histogramming, probability estimates, and the simplex method, as well as Game Theory methodology and the hierarchical procedure method of Thomas Lorie Saaty to forecast international scenarios for food security inthe future economy. Containing theoretical and practical insights, the book will be of interest to those studying agricultural economics, the digital economy, and concepts of Agriculture 4.0 and Industry 4.0. 168 pp. Englisch. N° de réf. du vendeur 9783031235108
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores issues of agricultural development and the provision of food security, providing a core framework and recommendations for implementing sustainable development goals in these areas. Focused on the period up to 2030 to match the timeline of the SDGs, the book surveys the current landscape and the prospects for agricultural development, demonstrating how Agriculture 4.0 based on AI and deep learning must follow from digitalization as the next step to ensuring food security. It brings together research based on analytical and statistical data, including the IMD World Digital Competitiveness Report and the Food Security Report from the Economist Intelligence Unit, and reliable mathematical tools including correlation and regression analysis, forecasting with histogramming, probability estimates, and the simplex method, as well as Game Theory methodology and the hierarchical procedure method of Thomas Lorie Saaty to forecast international scenarios for food security inthe future economy. Containing theoretical and practical insights, the book will be of interest to those studying agricultural economics, the digital economy, and concepts of Agriculture 4.0 and Industry 4.0.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch. N° de réf. du vendeur 9783031235108
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