Digital Twins, Artificial Intelligence, and Internet of Things for a Sustainable Food Production in Agriculture: Transformative Technologies (Hardcover) (ISBN-13: 9781041029557)

Akinola Samson Olayinka is a Professor of Computational and Applied Physics and the immediate past Dean of the Faculty of Science at Edo State University Iyamho, Nigeria. His research spans computational physics, applied physics, machine learning, data science, Internet of Things applications, materials science, and educational technology. He is a PhET Fellow at the University of Colorado Boulder, United States, and a LabXchange Ambassador. He serves as an external reviewer for international research funding agencies, including the Slovak Research and Development Agency (APVV), and contributes as a reviewer and editor for multiple academic journals and scholarly publishers. He has authored and coauthored numerous peer reviewed 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, and South Africa. He 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.