AI, Edge and IoT-based Smart Agriculture. Intelligent Data-Centric Systems

Table of Contents

1. Internet of things (IoT) and data analytics in smart agriculture: Benefits and challenges 2. Edge computing�- Foundations and applications 3. IoT-based fuzzy logic-controlled novel and multilingual mobile application for hydroponic farming 4. Functional framework for IoT-based agricultural system 5. Functional framework for edge-based agricultural system 6. Precision agriculture: Weather forecasting for future farming 7. Crop management system using IoT 8. Smart irrigation and crop security in agriculture using IoT 9. The Internet of Things in agriculture for sustainable rural development 10. Internet of Things (IoT) in agriculture toward urban greening 11. Smart e-agriculture monitoring systems 12.Smart agriculture using renewable energy and AI-powered IoT 13. Smart irrigation-based behavioral study of Moringa plant for growth monitoring in subtropical desert climatic condition 14. Surveying smart farming for smart cities 15. Farm Automation 16. A fog computing-based IoT framework for prediction of crop disease using big data analytics 17. Agribots: A gateway to the next revolution in agriculture 18. SAW: A real-time surveillance system at an agricultural warehouse using IoT 19. The predictive model to maintain pH levels in hydroponic systems 20. A crop-monitoring system using wireless sensor networking 21. Integration of RFID and sensors in agriculture using IOT 22. Prediction of crop yield and pest-disease infestation 23. Machine learning-based remote monitoring and predictive analytics system for crop and lives 24. Exploring performance and predictive analytics of agriculture data 25. Climate condition monitoring and automated systems 26. Decision-making system for crop selection based on soil 27. Cyberespionage: Socioeconomic implications on sustainable food security 28. Internet of Things on sustainable aquaculture system 29. IoT-based monitoring system for freshwater fish farming: Analysis and design 30. Transforming IoT in aquaculture: A cloud solution 31. Toward the design of an intelligent system for enhancing salt water shrimp production using fuzzy logic

Authors

Ajith Abraham Pro Vice-Chancellor, Bennette University, India.

Dr. Ajith Abraham is a Pro Vice-Chancellor at Bennette University. He is the director of Machine Intelligence Research Labs (MIR Labs), Australia. MIR Labs are a not-for-profit scientific network for innovation and research excellence connecting industry and academia. His research focuses on real world problems in the fields of machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, Web intelligence, Web services, and data mining. He is the Chair of the IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. He is editor-in-chief of Engineering Applications of Artificial Intelligence (EAAI) and serves on the editorial board of several international journals. He received his PhD in Computer Science from Monash University, Melbourne, Australia.

Sujata Dash Department of Computer Application, Maharaja Srirama Chandra BhanjaDeo University (formerly North Orissa University), Baripada, Mayurbhanj, Odisha, India.

Sujata Dash holds the position of Professor at the Information Technology School of Engineering and Technology, Nagaland University, Dimapur Campus, Nagaland, India, bringing more than three decades of dedicated service in teaching and mentoring students. She has been honoured with the prestigious Titular Fellowship from the Association of Commonwealth Universities, United Kingdom. As a testament to her global contributions, she served as a visiting professor in the Computer Science Department at the University of Manitoba, Canada. With a prolific academic record, she has authored over 200 technical papers published in esteemed international journals, and conference proceedings, and edited book chapters by reputed publishers Serving as a reviewer and Associate Editor for approximately 15 international journals.

Joel J.P.C. Rodrigues Federal University of Piaui (UFPI), Teresina - PI, Brazil; Instituto de Telecomunicacoes, Portugal. Joel J. P. C. Rodrigues is a professor at the Federal University of Piau�, Brazil, and senior researcher at the Instituto de Telecomunica��es, Portugal. He is the leader of the Next Generation Networks and Applications (NetGNA) research group (CNPq), an IEEE Distinguished Lecturer, Member Representative of the IEEE Communications Society on the IEEE Biometrics Council, and the President of the scientific council at ParkUrbis - Covilh� Science and Technology Park. He has been general chair and TPC Chair of many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE HEALTHCOM, and IEEE LatinCom. He has authored or coauthored over 800 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T Recommendation. He had been awarded several Outstanding Leadership and Outstanding Service Awards by IEEE Communications Society and several best papers awards. Prof. Rodrigues is a member of the Internet Society, a senior member ACM, and Fellow of IEEE. Biswaranjan Acharya Department of Computer Science, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India. Biswa Ranjan Acharya is an academic currently associated with Kalinga Institute of Industrial Technology Deemed to be University along with pursuing PhD in computer application from Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India. He received MCA in 2009 from IGNOU, New Delhi, India and M.Tech in Computer Science and Engineering in the year of 2012 from Biju Pattanaik University of Technology (BPUT), Odisha, India. He is also associated with various educational and research societies like IEEE, IACSIT, CSI, IAENG, and ISC. He has industry experience as a software engineer. He currently is working on research in multiprocessor scheduling along with fields such as Data Analytics, Computer Vision, Machine Learning and IOT. Subhendu Kumar Pani Krupajal Engineering College, Prashanti Vihar, Near CIFA, Kausalya Ganga, Bhubaneswar, Khordha, Odisha, India.

Dr. Subhendu Kumar Pani received his Ph.D. from Utkal University, Odisha, India in the year 2013. He is working as a professor at Krupajal Engineering College under BPUT, Odisha, India. He has more than 20 years of teaching and research experience His research interests include Data mining, Big Data Analysis, web data analytics, Fuzzy Decision Making and Computational Intelligence. He is the recipient of 5 researcher awards. In addition to research, he has guided two PhD students and 31 M. Tech students. He has published 150 International Journal papers (100 Scopus index). His professional activities include roles as Book Series Editor (CRC Press, Apple Academic Press, Wiley-Scrivener), Associate Editor, Editorial board member and/or reviewer of various International Journals. He is an Associate with no. of the conference societies. He has more than 250 international publications, 5 authored books, 25 edited and upcoming books; 40 book chapters into his account. He is a fellow in SSARSC and a life member in IE, ISTE, ISCA, and OBA.OMS, SMIACSIT, SMUACEE, CSI.