AI, Edge and IoT-based Smart Agriculture

Ajith Abraham, PhD (2001) in artificial intelligence from Monash University, Australia, is the Vice Chancellor of Sai University, India. Prior to joining Sai University, he held senior positions at several prominent institutions and was the founding director of Machine Intelligence Research Labs, a nonprofit scientific network for innovation and research excellence headquartered in Seattle, United States. Dr. Abraham has led or co-led research projects valued at over $110 million, funded by organizations in the United States, the European Union, Italy, the Czech Republic, France, Malaysia, China, and Australia. He has worked in multidisciplinary environments for more than 35 years and is a prolific co-author of research publications in artificial intelligence and its industrial applications. Several of his works have been translated into Chinese and Russian, and one of his books has been translated into Japanese. Dr. Abraham is consistently featured in the Stanford/Elsevier list of the world’s top 2% most-cited scientists. From 2016 to 2021, he served as Editor-in-Chief of Engineering Applications of Artificial Intelligence (EAAI), one of the longest-standing journals in the field (founded in 1988). He has also served on the editorial boards of more than 15 international journals indexed by Thomson ISI. Sujata Dash is a Professor of Information Technology at Nagaland University, India, and an IEEE Senior Member, with over three decades of academic and research experience. She holds a PhD in Computational Modeling and has also completed postdoctoral research at the University of Manitoba, Canada, where she later served as a Visiting Professor. Her research spans machine learning, deep learning, artificial intelligence, bioinformatics, natural language processing, and IoT, with applications across healthcare, data science, and smart systems. Dr. Dash has an extensive publication record with leading publishers including Elsevier, Springer, Wiley, and CRC Press, and serves on the editorial boards of several international journals. She has delivered keynote lectures and chaired sessions at numerous international conferences and has received several awards, including the Global Distinguished Award (IEEE IAS, 2023), Outstanding Scientist Award, and Best Researcher Award. Joel J.P.C. Rodrigues is affiliated with the Federal University of Piauí and serves as Leader of the Center for Intelligence at Fecomércio/CE, Brazil. He is a Highly Cited Researcher (Clarivate) and ranked no. 1 among computer science researchers in Brazil by Research.com. He is also the leader of the Next Generation Networks and Applications (NetGNA) research group (CNPq), a Member Representative of the IEEE Communications Society on the IEEE Biometrics Council, and President of the Scientific Council at ParkUrbis – Covilhã Science and Technology Park. Prof. Rodrigues has held several leadership roles within IEEE, including Director for Conference Development on the IEEE Communications Society (ComSoc) Board of Governors, IEEE Distinguished Lecturer, Technical Activities Committee Chair for the IEEE ComSoc Latin America Region, and Past Chair of the IEEE ComSoc Technical Committees on eHealth and Communications Software. He has also served as a Steering Committee member of the IEEE Life Sciences Technical Community and as Publications Co-Chair. He is Editor-in-Chief of the International Journal of E-Health and Medical Communications and serves on the editorial boards of several high-impact journals, primarily within IEEE. He has acted as General Chair and Technical Program Committee (TPC) Chair for numerous international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE HEALTHCOM, and IEEE LatinCom. A very prolific author, he has received multiple Outstanding Leadership and Outstanding Service Awards from the IEEE Communications Society, along with several best paper awards. He is a member of the Internet Society, a Senior Member of ACM, and a Fellow of AAIA and IEEE.Biswaranjan Acharya received his MCA degree from IGNOU, New Delhi, India, in 2009, and his MTech degree in Computer Science and Engineering from Biju Patnaik University of Technology (BPUT), Rourkela, Odisha, India, in 2012. He earned his PhD in Computer Science from Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India. He is currently an Associate Professor at the Jagadguru Kripalu Institute of Technology, Jagadguru Kripalu University, Cuttack, Odisha, India. He has over ten years of academic experience at reputed institutions, including Ravenshaw University and KIIT Deemed to be University, as well as industry experience as a software engineer.Dr. Acharya is an active research article author for internationally recognized journals and holds over 50 patents. He also serves as a reviewer for several peer-reviewed journals. His research interests include multiprocessor scheduling, data analytics, computer vision, machine learning, and the Internet of Things. He is an active member of several professional and academic organizations, including IEEE, IACSIT, CSI, IAENG, and ISC.Subhendu Kumar Pani received his PhD from Utkal University, Odisha, India, in 2013. He currently serves as Principal of Krupajal Engineering College, Bhubaneswar, India, and has over 17 years of teaching and research experience. A prolific author, he serves as Series Editor for CRC Press’ Advances in Computational Collective Intelligence, Apple Academic Press’ AAP Advances in Artificial Intelligence & Robotics, and Wiley-Scrivener’s Intelligent Data Analytics for Terror Threat Prediction, and is actively involved as an associate editor, editorial board member, and reviewer for several international journals. He also contributes to national and international conference communities. His research interests include data mining, big data analytics, web data analytics, fuzzy decision-making, and computational intelligence. He is a Fellow of SSARS (Canada) and a Life Member of several professional bodies, including IE, ISTE, ISCA, OBA, OMS, SMIACSIT, SMUACEE, and CSI. He has received multiple research awards in recognition of his contributions.

• 1. Internet of things (IoT) and data analytics in smart agriculture: Benefits and challenges2. Edge computing - Foundations and applications3. IoT-based fuzzy logic-controlled novel and multilingual mobile application for hydroponic farming4. Functional framework for IoT-based agricultural system5. Functional framework for edge-based agricultural system6. Precision agriculture: Weather forecasting for future farming7. Crop management system using IoT8. Smart irrigation and crop security in agriculture using IoT9. The Internet of Things in agriculture for sustainable rural development10. Internet of Things (IoT) in agriculture toward urban greening11. Smart e-agriculture monitoring systems12.Smart agriculture using renewable energy and AI-powered IoT13. Smart irrigation-based behavioral study of Moringa plant for growth monitoring in subtropical desert climatic condition14. Surveying smart farming for smart cities15. Farm Automation16. A fog computing-based IoT framework for prediction of crop disease using big data analytics17. Agribots: A gateway to the next revolution in agriculture18. SAW: A real-time surveillance system at an agricultural warehouse using IoT19. The predictive model to maintain pH levels in hydroponic systems20. A crop-monitoring system using wireless sensor networking21. Integration of RFID and sensors in agriculture using IOT22. Prediction of crop yield and pest-disease infestation23. Machine learning-based remote monitoring and predictive analytics system for crop and lives24. Exploring performance and predictive analytics of agriculture data25. Climate condition monitoring and automated systems26. Decision-making system for crop selection based on soil27. Cyberespionage: Socioeconomic implications on sustainable food security28. Internet of Things on sustainable aquaculture system29. IoT-based monitoring system for freshwater fish farming: Analysis and design30. Transforming IoT in aquaculture: A cloud solution31. Toward the design of an intelligent system for enhancing salt water shrimp production using fuzzy logic