Food Security in the Economy of the Future
Transition from Digital Agriculture to Agriculture 4.0 Based on Deep Learning
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Beschreibung
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.
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.
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.
Combines statistical data and mathematical tools to forecast the provision of food security Presents international scenarios and policy recommendations Promotes a transition from digital agriculture to Agriculture 4.0 based on AI and deep learning
Autor*in
Elena G. Popkova
Themen in »Food Security in the Economy of the Future«
Food security for sustainable development Advanced digital technologies in agriculture “Smart” agriculture based on AI and deep learning Agriculture 4.0 based on AI and deep learning Transition from digital agriculture to Agriculture 4.0 Automation of agriculture based on AI and deep learning Global priorities of the provision of food security Agricultural development scenarios in the economy of the future Policy implications for the management of food security Fighting global hunger with Agriculture 4.0