Food security in the economy of the future : transition from digital agriculture to agriculture 4.0 based on deep learning
著者
書誌事項
Food security in the economy of the future : transition from digital agriculture to agriculture 4.0 based on deep learning
Palgrave Macmillan, c2023
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
Part 1. Digital Agriculture and New Opportunities for Providing Food Security in the Context of the Fourth Industrial Revolution.- Chapter 1: Strategic Directions for Smart Agriculture Based on Deep Learning for Future Risk Management of Food Security. By Elena G. Popkova, Tatiana N. Litvinova, Olga M. Zemskova, Mariya F. Serebryakova and Anna A. Karpova.- Chapter 2: Food and Water Security of the Middle East (the Case of Egypt). By Denis A. Mirgorod, Gennadii V. Kosov, Elena A. Soloveva, Alihan M. Israilov and Alexander A. Pohilko.- Chapter 3: Best Practices and the Digital Model of Agricultural Development in Developed and Developing Countries. By Elena V. Sofiina, Irina V. Milchik, Igor V. Denisov and Nadezhda K. Savelyeva.- Chapter 4: Monitoring the Compliance of Today's Agriculture with Food Security Needs for Sustainable Development. By Elena A. Bratukhina, Berik T. Beisengaliyev, Anastasia A. Sozinova and Ksenia V. Borzenko.- Chapter 5: Green Finance: Analysis of Prospects of the Russian Market. By Olga G. Kantor, Yuliya R. Rudneva, Dmitriy Yu. Dunov, Shakhlo T. Ergasheva and Boris M. Leybert.- Part 2. Prospects for Food Security of the Future Economy in the Transition to Agriculture 4.0 Based on Deep Learning.- Chapter 6: Food Security in the Digital Economy: Traditional Agriculture vs. Smart Agriculture Based on Artificial Intelligence. By Aleksei V. Bogoviz, Vladimir S. Osipov, Tatiana M. Vorozheykina, Veronika V. Yankovskaya and Igor Yu. Sklyarov.- Chapter 7: Transition from Digital Agriculture to Agriculture 4.0 as the Most Promising Scenario for Ensuring Future Food Security. By Mikhail S. Kyzyurov, Ayapbergen A. Taubayev, Larissa P. Steblyakova and Larisa V. Shabaltina.- Chapter 8: A New Level of Food Security as a Result of the Transition of Food-Importing Countries to Agriculture 4.0 based on Deep Learning. By Anastasia A. Sozinova, Aigul S. Daribekova, Irina P. Lapteva and Maria V. Makarova.- Chapter 9: Risks of Agricultural Economy and Climate Risk Management for Enterprises of Agriculture 4.0 based on Deep Learning. By Tatiana N. Litvinova.- Chapter 10: Prospects for Using Investment by Agricultural Cooperatives of Kyrgyzstan in the Regional Economy of Central Asia. By Kalil D. Dzhumabayev, Alymkul K. Dzhumabayev, Shukurali A. Jamalov, Elmira K. Kydykbaeva and Taalaigul Azamat kyzy.- Part 3. Applied Recommendations for Shaping Agriculture 4.0 based on Deep Learning to Ensure the Food Security of the Economy of the Future.- Chapter 11: Advanced Digital Technology in Agriculture and its Contribution to Food Security. By Elena V. Karanina, Elena A. Vechkinzova, Yuliya A. Kopytina and Nurlybek T. Malelov.- Chapter 12: Roadmap for the Transition from Digital Agriculture to Agriculture 4.0 based on Deep Learning in the Economy of the Future by 2030. By Nazgul S. Daribekova, Marina A. Sanovich, Nadezhda K. Savelyeva, Tatiana A. Dugina and Anastasia I. Smetanina.- Chapter 13: Automation of Agriculture Based on Deep Learning: Modeling and Management to Improve Quality and Efficiency. By Natalia V. Przhedetskaya, Eleonora V. Nagovitsyna, Victoria Yu. Przhedetskaya and Ksenia V. Borzenko.- Chapter 14: Responsible Production and Consumption in Agriculture 4.0 based on Deep Learning for Sustainable Development. By Yerlan B. Zhailauov, Natalia V. Przhedetskaya and Vasiliy I. Bespyatykh.
「Nielsen BookData」 より