Digital Twins, Artificial Intelligence, and Internet of Things for a Sustainable Food Production in Agriculture

Transformative Technologies
1. Auflage 2026
ISBN: 978-1-041-02955-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 208 Seiten, Format (B × H): 156 mm x 234 mm

Digital Twins, Artificial Intelligence, and Internet of Things for a Sustainable Food Production in Agriculture: Transformative Technologies looks at how advanced technologies like digital twins, artificial intelligence (AI), and the Internet of Things (IoT) can be used in farming.

The book discusses how these innovations enhance resource efficiency, support sustainable food systems, and improve crop and livestock management. Focusing on both the theoretical and practical applications, it provides readers with current insight into sustainable agricultural practices. It also offers insights into how digital twins, AI, and IoT are integrated into agriculture for sustainable food production. The book will cover how digital copies of farms, smart computers, AI, IoT, and connected devices help farmers optimise food production. It draws its strength from a multidisciplinary approach with an emphasis on practical applications and future prospects in smart agriculture towards improved efficiency, sustainability, and profitability in food production.

This book is suitable for a broad academic audience, including undergraduate and graduate students, researchers, and professionals in fields such as agricultural science, environmental science, computer science, and engineering, as well as policymakers and government functionaries. It is meant to be used as a textbook or additional reading for courses on precision farming, smart agriculture, and sustainable food systems. The content is designed to be understandable to people who have just a cursory understanding of technology and agriculture, but it also provides in-depth analysis for practitioners and advanced students.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Olayinka, Akinola Samson

Ukhurebor, Kingsley Eghonghon

Aigbe, Uyiosa Osagie

Fachgebiete

• Geowissenschaften Umweltwissenschaften Umwelttechnik
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften Nachhaltige Landwirtschaft
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware

Inhaltsverzeichnis

1. Digital Revolution in Sustainable Agricultural Practices: Overview, Current Trends and Sustainable Development Goals 2. Applications of Digital Twins for Sustainable Farming 3. Innovative Agricultural Practices Using Artificial Intelligence for Sustainable Crop and Livestock Farming 4. Smart Internet of Things Sensors and Devices for Sustainable Agriculture 5. Developing a Sustainable Food Production Synergy with Artificial Intelligence, Internet of Things and Digital Twins 6. Challenges, Opportunities and Future of Smart Agriculture

Über Autor(innen)

Akinola Samson Olayinka is a Professor of Computational & Applied Physics and the immediate past Dean of the Faculty of Science at Edo State University Iyamho, Nigeria. His research interests are in computational physics, applied physics, Machine learning, IoT, Data Science, material science and edtech. He is a reviewer and editor for many journals and publishers. He has authored and co-authored several publications.

Kingsley Eghonghon Ukhurebor is a Senior Lecturer/Researcher (due for an Associate Professor) and acting Director, Centre for Open and Distance Learning and former acting Head of the Department of Physics at Edo State University Iyamho, Nigeria. He is also a Research Fellow at WASCAL, Competence Centre, Ouagadougou, Burkina Faso. His research interests include applied physics, climate physics, environmental physics, telecommunications physics, and materials science (nanotechnology). He is currently ranked among the top 50 authors in Nigeria by Scopus scholarly output and is listed among the top 2% of scientists in the world by Stanford University, USA, and Elsevier.

Uyiosa Osagie Aigbe is a former Research Fellow with the Department of Mathematics and Physics, Faculty of Applied Science, Cape Peninsula University of Technology, Cape Town, South Africa, and is currently an Ad-Hoc Research Fellow with the Center for Space Research, and the National Institute of Theoretical and Computational Science, South Africa. His research interests are in applied physics, nanotechnology, fluid dynamics, water purification processes, image processing, environmental physics, machine learning, statistical analysis, and materials science.