Digital Farming and Smart Agriculture for Sustainable Future

FEBIN DAYA J L is a Professor at the Electric Vehicles Incubation, Testing, and Research Center at Vellore Institute of Technology (VIT), Chennai Campus. He earned his Doctorate and Master’s degrees in Engineering from Anna University, Chennai, and his Bachelor's degree in Engineering from Manonmaniam Sundaranar University. With 19 years of experience in teaching and research, he has served as the Assistant Director of the Campus Sustainability Initiative at VIT, where he implemented numerous innovative approaches to ensure environmental sustainability. He has published approximately 90 papers in international journals and conferences and has been invited to serve as an honorary program committee member, technical committee member, steering committee member, and chair for over 15 international conferences in India and abroad. He has successfully completed two research projects funded by the DST and four industrial consultancy projects. Currently, he is working on a funded project on smart agriculture, supported by the IIT Kharagpur AI4ICPS I-Hub Foundation. He holds four Indian patents and has guided four Ph.D. scholars and over 60 undergraduate and postgraduate projects. His current research interests include electrical drives and control, intelligent systems, electric vehicles, and precision agriculture. S. Graceline Jasmine has completed her Masters in Computer Application in 2007 and received Ph.D in Remotely Sensed Image Processing from School of Computer Science and Engineering, Vellore Institute of Technology (VIT), in 2018. She is currently working as an Associate Professor in the School of Computer Science and Engineering, VIT, Chennai Campus. She is presently serving as Research Chair for Image and Computer Vision Research Group of School of Computer Science and Engineering, at VIT, Chennai Campus, India. She has 15 years of Teaching and Research Experience. She has published around 50 papers in International Journals and Conferences. She is actively involved in many professional bodies and reviewed many national and international journal papers. She has been invited for guest lecture in many institutions and been part of technical committee and chaired few national level conferences. She is currently into an industrial consultancy project. Presently guiding 4 PhD scholars and more than 100 undergraduate and 50 postgraduate projects. Her research interests include Remotely Sensed Image Processing, Computer Vision, Gaming and Immersive Technologies. Utku Kose received the B.S. degree in 2008 from computer education of Gazi University, Turkey as a faculty valedictorian. He received M.S. degree in 2010 from Afyon Kocatepe University, Turkey in the field of computer and D.S. / Ph. D. degree in 2017 from Selcuk University, Turkey in the field of computer engineering. Between 2009 and 2011, he has worked as a Research Assistant in Afyon Kocatepe University. Following, he has also worked as a Lecturer and Vocational School - Vice Director in Afyon Kocatepe University between 2011 and 2012, as a Lecturer and Research Center Director in Usak University between 2012 and 2017, and as an Assistant Professor in Suleyman Demirel University between 2017 and 2019. Currently, he is an Associate Professor in Suleyman Demirel University, Turkey. He has more than 200 publications including articles, authored and edited books, proceedings, and reports. He is also in editorial boards of many scientific journals and serves as one of the editors of the Biomedical and Robotics Healthcare series (CRC Press) and Computational Modeling Applications for Existential Risks series. His research interest includes artificial intelligence, machine ethics, artificial intelligence safety, biomedical applications, optimization, the chaos theory, distance education, e-learning, computer education, and computer science.

1.Data-Driven Harvests: Navigating Modern Agronomic Technology for Sustainable Smart Agriculture 2.PrecisionAgro: An Intelligent and Efficient Smart Farm System Leveraging Machine Learning for Optimal Crop Management 3.From Fields to Bytes - AI Powered Solution for Indian Agriculture 4. Soil fertility rate prediction using XGBoost and Explainable AI (XAI) with SHAP towards sustainable agriculture 5. Variable Rate Granular Fertilizer Application for Precision Farming 6. Intelligent Farm Management Using Artificial Intelligence 7. Advancements in Automated Multi-class Weed Management Using Enhanced YOLOv8 Object Detection Algorithm 8. Enhancing Crop Selection and Yield Optimization in Indian Agriculture through Machine Learning-Based Recommendation Systems 9. Smart Greenhouse IoT: Enhancing Crop Yield through Intelligent Regulation of Climate and Nutrients 10. Digitizing the Field: Exploring IoT Applications in Modern Farming 11. Towards Smart Farms: IoT-driven Automation for Future Agriculture 12. Mobile Application for Augmented Reality-based Learning of Rice Crop Management 13. Smart Sensors for Precision Agriculture 14. Drones Over Fields: Harnessing UAV Technology for Precision Farming 15. Routing and Navigation among Aerial Obstacles using Deep Learning and Depth Maps for Obstacle Routing in Unmanned Aerial Vehicles 16. Farming from Above: The Role of UAVs in Modern Agricultural Practices 17. An AI based Smart Analysis of Brown-Spot Leaf Disease Proliferation in Sugarcane Plantations of Maharashtra using Drone Captured Images