Smart Technologies for Sustainable Agriculture: Integrating Ecological

Description

This book offers an in-depth analysis of technologically smart and sustainable agricultural systems, focusing on methods, tools, and practical applications that enhance ecological, social, and economic sustainability. It addresses pressing global challenges such as natural resource depletion, climate change, and growing food demand. The book covers agroecological practices, climate-smart... Read more

Editor(s)

Biography

Wasswa Shafik (born 23 May 1992) in Makindye, Kampala City, Uganda, is a Computer Scientist, Information Technologist, Founder, and Research Director at the Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. He received his Bachelor’s in information technology engineering with a minor in mathematics at Ndejje University, Luweero, Uganda, and a Master’s in information technology engineering (communication and computer networks option) at Yazd University, Yazd, Islamic Republic of Iran. He pursued his PhD in digital science (computer science) at the School of Digital Science, Universiti Brunei Darussalam, Brunei Darussalam. His research broadly examines, integrates, and focuses on developing computationally and statistically efficient models and algorithms to address complex questions about artificial intelligence and machine learning problems. His specific research interests include sustainable development, smart agriculture, computer vision, ecological informatics, applied artificial intelligence, the Internet of Things, cybersecurity and privacy, and smart computing. He has authored, coauthored, edited, coedited, and published hundreds of peer-reviewed books, technical papers, and journal papers, and numerous IEEE international conference papers. His “Hirsch index” is 20+ (source: Scopus Author ID 57210203704). He is a member of IEEE and served as a reviewer of several international journals indexed in Scopus, Compendex (Elsevier Engineering Index), and WoS. He served in different capacities as department support for mathematics for data science, physical computing for intelligence systems, advanced topics in computing, advanced algorithms, and system performance and evaluation. Prior to this, as a department fellow, he served as a research associate at the Intelligent Network Laboratory in Iran. He served in different capacities as a Community Data Officer at the Programme for Accessible Health, Communication and Education; Research Associate and Data Manager at Population Services International; Data Manager and Research Assistant at the Socio-economic Data Center; Research Lead at TechnoServe; and Ag. Chief Executive Officer at Asmaah Charity Organisation.

Rufai Yusuf Zakari is a member of the Nigeria Foundation for Artificial Intelligence (NFAI) and a distinguished data science researcher, technologist, and educator with over a decade of experience in both industry and academia. He earned his bachelor’s degree in computer science from Bayero University Kano and went on to obtain his master’s degree in computer science and engineering from Jodhpur National University. He obtained his PhD in Data Science from the School of Digital Science, Universiti Brunei Darussalam (UBD). Since 2016, Rufai has been a lecturer at the Kano State Polytechnic, where he has contributed significantly to the academic development of his students and the institution. He also serves as a lecturer at Skyline University Nigeria, within the Department of Computer Science. Rufai's areas of research encompass a broad range of topics, including Artificial Intelligence (AI) for Environmental Science, Data Analytics, Computer Vision, Machine Learning (ML)/Deep Learning (DL), Digital Image Processing, Remote Sensing, and Geographical Information Systems (GIS). His work often focuses on the intersection of AI and environmental issues, particularly in the application of advanced technologies to address challenges related to environmental science and climate change. In addition to his academic roles, Rufai has authored and co-authored numerous peer-reviewed articles in renowned international journals and with top publishers. His contributions to these fields have garnered recognition in both academic and professional circles, establishing him as a thought leader in AI applications for real-world problems.

Kassim Kalinaki (MIEEE) is a computer science researcher, technologist, and educator with more than ten years of experience in the industry and academia. He received his Diploma in Computer engineering from Kyambogo University, a BSc in computer science and engineering, a MSc. Computer Science and Engineering from Bangladesh's Islamic University of Technology (IUT), and a PhD in Computer Science at the School of Digital Science, Universiti Brunei Darussalam (UBD). Since 2014, He has lectured at the Islamic University in Uganda (IUIU), where he most recently served as the Head of Department Computer Science department (2019-2022). He’s the founder and principal investigator of Borderline Research Laboratory (BRLab) and his areas of research include Ecological Informatics, Data Analytics, Computer Vision, ML/DL, Digital Image Processing, Cybersecurity, IoT/AIoMT, Remote Sensing, and Educational Technologies. He has authored and co-authored several published peer-reviewed articles in renowned journals and publishers.

Robooni Tumuhimbise is currently a Director of Research at the National Agricultural Research Organization (NARO), Rwebitaba Zonal Agricultural Research and Development Institute, Uganda. He is a result-oriented Crop Scientist with 15 years of experience in agricultural research and development, working on RTB crops, especially cassava, cocoyam, banana, and tea. After completing his PhD in Plant Breeding from the University of KwaZulu-Natal, South Africa, where his research was on cassava breeding for early storage root yield and resistance to viral diseases, he joined the National Banana Program of NARO, Uganda, as a banana Breeder. As a banana Breeder, he successfully led a research team of over 100 people that released five superior cooking banana varieties currently being promoted in East Africa. He has co-supervised over 15 postgraduate students and published over 40 articles in peer-reviewed journals.

Ahmed Abba Haruna is a distinguished educator, researcher, and leader in Information Technology. He holds Fellowships with the Higher Education Academy (FHEA), UK; the Federation of International Gender and Human Rights (FIGHR), USA; and the Institute of Management Consultants (FIMC). With over 12 years of experience teaching Computer Science and IT across Malaysia, Mauritius (UK University), Nigeria, and Saudi Arabia, Dr. Ahmed is currently an Assistant Professor of Computer Science at the University of Hafr Al Batin in Saudi Arabia. Dr. Ahmed earned his Ph.D. and M.Sc. in Information Technology from Universiti Teknologi PETRONAS, Malaysia, and a Bachelor’s in Information Technology from Infrastructure University Kuala Lumpur, Malaysia. He also holds a Postgraduate Certificate in Higher Education (PGCHE) from Middlesex University, UK. Internationally recognized, Dr. Ahmed has received multiple awards, published widely in prominent conferences and journals, and completed three externally funded green IT projects with Hitachi. In 2017, he represented Malaysia at the R&D Congress on Sustainable Urbanization during ASEAN Economic Integration in Manila, Philippines. Dr. Ahmed’s multidisciplinary research interests include Green & Sustainable Computing, Job Scheduling, Machine Learning, and Higher Education Teaching & Learning Support, making impactful contributions to academia and industry.

Smart Technologies for Sustainable Agriculture Integrating Ecological Practices with Computational Intelligence

Description

Table of Contents

Editor(s)

Biography

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