國立高雄大學圖資館 |

Language: English

Back

Food security in the economy of the futuretransition from digital agriculture to Agriculture 4.0 based on deep learning /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Food security in the economy of the futureedited by Elena G. Popkova, Bruno S. Sergi.
Reminder of title:	transition from digital agriculture to Agriculture 4.0 based on deep learning /
other author:	Popkova, Elena G.
Published:	Cham :Springer International Publishing :2023.
Description:	xvi, 151 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Agricultural innovations.
Online resource:	https://doi.org/10.1007/978-3-031-23511-5
ISBN:	9783031235115$q(electronic bk.)

Food security in the economy of the futuretransition from digital agriculture to Agriculture 4.0 based on deep learning /
Food security in the economy of the futuretransition from digital agriculture to Agriculture 4.0 based on deep learning /[electronic resource] :edited by Elena G. Popkova, Bruno S. Sergi. - Cham :Springer International Publishing :2023. - xvi, 151 p. :ill., digital ;24 cm.

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 in the 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.

ISBN: 9783031235115$q(electronic bk.)

Standard No.: 10.1007/978-3-031-23511-5doiSubjects--Topical Terms:

575627
Agricultural innovations.

LC Class. No.: S494.5.I5

Dewey Class. No.: 338.16

Food security in the economy of the futuretransition from digital agriculture to Agriculture 4.0 based on deep learning /
LDR:02780nmm a2200337 a 4500 001 642792
003 DE-He213
005 20230325090910.0
006 m d
007 cr nn 008maaau
008 231123s2023 sz s 0 eng d
020 $a 9783031235115$q(electronic bk.)
020 $a 9783031235108$q(paper)
024 7 $a 10.1007/978-3-031-23511-5 $2 doi
035 $a 978-3-031-23511-5
040 $a GP $c GP
041 0 $a eng
050 4 $a S494.5.I5
072 7 $a TVB $2 bicssc
072 7 $a KNAC $2 bicssc
072 7 $a BUS070010 $2 bisacsh
072 7 $a TVB $2 thema
072 7 $a KNA $2 thema
082 0 4 $a 338.16 $2 23
090 $a S494.5.I5 $b F686 2023
245 0 0 $a Food security in the economy of the future $h [electronic resource] : $b transition from digital agriculture to Agriculture 4.0 based on deep learning / $c edited by Elena G. Popkova, Bruno S. Sergi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Macmillan, $c 2023.
300 $a xvi, 151 p. : $b ill., digital ; $c 24 cm.
520 $a 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 in the 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.
650 0 $a Agricultural innovations. $3 575627
650 0 $a Food supply $x Data processing. $3 950212
650 0 $a Food security $x Data processing. $3 950213
650 0 $a Precision farming. $3 249046
650 1 4 $a Agricultural Economics. $3 276171
650 2 4 $a Economic Policy. $3 274350
650 2 4 $a Economic Development, Innovation and Growth. $3 918889
700 1 $a Popkova, Elena G. $3 773889
700 1 $a Sergi, Bruno S. $3 365932
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-23511-5
950 $a Economics and Finance (SpringerNature-41170)