Transforming Agriculture with Emerging Technologies for a Sustainable Future

Shanu Sharma is an Associate Professor in the Department of Computer Science & Engineering at ABES Engineering College, Ghaziabad (Affiliated to A.K.T. University, Lucknow). She holds a Ph.D. from Amity University Uttar Pradesh and an M.Tech in Intelligent Systems from IIIT Allahabad. With over 14 years of teaching and research experience, she has taught a variety of undergraduate and postgraduate courses, including Image Processing, Data Mining, Machine Learning, Data Science, Data Structures, Analysis and Design of Algorithms, and Compiler Design. Her research interests span Cognitive Computing, Computer Vision, Pattern Recognition, and Machine Learning. Dr. Sharma has contributed to numerous reputed journals and conferences and is actively involved with several international journals and conferences as a reviewer and guest editor. She has been actively engaged in editing technical books in the fields of artificial intelligence, intelligent systems, and emerging technologies. These books contribute to advancing industry-relevant knowledge and are widely used by researchers, practitioners, and students. She has also curated special issues in international journals focused on interdisciplinary and cutting-edge topics. She has also served as a conference organizer and session chair for several international conferences, contributing to the academic and research community by facilitating knowledge exchange and collaborative opportunities. Dr. Sharma is a Senior Member of IEEE and an active member of multiple professional societies, including ACM, Soft Computing Research Society (SCRS), EUSFLAT, and IAENG.Ayushi Prakash is a Professor in the Department of Computer Science and Engineering at Ajay Kumar Garg Engineering College Ghaziabad, Dr. A.P.J. Abdul Kalam Technical University Uttar Pradesh, where she has been since September 2023. She received a B.Tech. degree from Dr. R.M.L Awadh University in 2009, and an M.Tech. from the AKTU State University of Uttar Pradesh at Lucknow. She received her Ph.D. in Computer Science and Engineering from Dr. K. N. Modi University, in 2022. From 2010 to 2024, she also has a continuous contribution in the Training & Placement Department in Dr. A.P.J. Abdul Kalam Technical University Uttar Pradesh. Her research interests span both Information retrieval and AIML. Prof. Prakash is a senior member of IEEE and professional lifetime member of Indgiants Association of Educators & Professional Trainers. She has received many best paper awards in international conferences. She has contributed to many International Conferences as an organizer, advisor, session chair, and reviewer. She has more than 20 Sci/Scopus indexed research papers and 20 research papers in renowned national and international journals and conferences. published many patents, chapters and research articles.Sandhya Avasthi is an Associate Professor in the Department of Computer Science and Engineering at ABES Engineering College (affiliated with Dr. A.P.J. Abdul Kalam Technical University), Ghaziabad, India. She earned her Ph.D. in Machine Learning and Text Mining from Amity University, Noida. She holds an M.Tech in Computer Science and Engineering from Uttar Pradesh Technical University, Lucknow, and a B.E. in Computer Science and Engineering from Dr. B.R. Ambedkar University, Agra. With over 19 years of teaching experience, Dr. Avasthi is an active researcher in the domains of machine learning and data mining. Her research interests include Natural Language Processing, Information Extraction, Information Retrieval, Data Science, and Business Intelligence. She has published numerous research papers in peer-reviewed international journals, conference proceedings, and edited book volumes. In addition to her academic responsibilities, Dr. Avasthi contributes actively to the research community. She serves as a reviewer for reputed journals and conferences. She is also a member of professional bodies such as IEEE and ACM, and remains consistently engaged in academic and professional development activities.Vijayan Sugumaran is Professor of Management Information Systems and Chair of the Department of Decision and Information Sciences at Oakland University, Rochester, Michigan, USA. He received his Ph.D in Information Technology from George Mason University, Fairfax, USA. His research interests are in the areas of Big Data Analytics, Ontologies and Semantic Web, Intelligent Agent and Multi-Agent Systems, and Component Based Development. He has published over 200 peer-reviewed articles in Journals, Conferences, and Books. He has edited twelve books and serves on the Editorial Board of eight journals. He has published in top-tier journals such as Information Systems Research, ACM Trans on Database Systems, IEEE Trans on Engineering Management, Communications of the ACM, and IEEE Software. He is the editor-in-chief of the International Journal of Intelligent Information Technologies. He is the Chair of the Intelligent Agent and Multi-Agent Systems mini-track for Americas Conference on Information Systems (AMCIS 1999 - 2019). He has served as the program co-chair for the International Conference on Applications of Natural Language to Information Systems (NLDB 2008, 2013, 2016, and 2019).

• 1. Key Pillars for Sustainability in Agriculture. 2. Emerging Technologies and their Uses in Agriculture Sector. 2. Investigating the Role of Artificial Intelligence for Ethical and Sustainable Food Production. 3. Innovations, Applications, and Future Prospects in Agriculture Sector through Emerging Technologies. 4. Next-Gen Agriculture: Resolving Issues with 5G and Emerging Technologies on Sustainable Solutions. 5. Exploring the Role of Machine Learning and Blockchain in the Context of IoT: Towards Smart Agriculture System. 6. Empowering Indian Agriculture through Intelligent Automation: A Fuzzy Wireless Sensor Network Approach. 7. Smart Farming Development Integrating IoT-Based Solutions. 8. AI-Driven Optimization of Biosurfactant Production from Agricultural Waste: A Sustainable Solution to Pollution and Resource Utilization. 9. Convergence of Machine Learning, Deep Learning and IoT for Plant Disease Detection. 10. Smart Technologies for Predicting Shelf-Life of Fruit and Vegetables towards Sustainable Agriculture. 11. Predictive Analytics in Agriculture: Machine Learning for Crop Yield Estimation. 12. AI-Driven Wild Animal Detection and Tracking in Agriculture Fields Using Deep Learning. 13. AI-Driven Wild Animal Detection and Tracking in Agriculture Fields Using Deep Learning.