Title: AI-IoT-UAV on On-Board Intelligence with Navigation Exploration on Precision Agriculture

Abstract: The talk aims to discuss a cognitive system with a decisive deep learning (DL) architecture to investigate the use of vision-guided UAVs (Unmanned Aerial Vehicles) for precision agriculture. The main goals are to realize the automatic sky farming by UAVs, which means that the UAVs will do all the agronomy tasks automatically. The major points to be covered in the keynote are: (1) Need of a vision-guided localization and vision navigation approach which uses camera and other sensors on board and on field to realize the UAVs‘ controlling and Navigation method that doesn´t rely on the GPS (Global Positioning System) signal. (2) Significance of a deep learning algorithm for crop disease detection. The main intention is to use DL/machine learning techniques to create a mapping between places obtained using cameras and actual on-field locations obtained via field sensors to increase the accuracy of recognized locations.

About the speaker: Prof. Arun Kumar Sangaiah received his Ph.D. from School of Computer Science and Engineering, VIT University, Vellore, India. He is currently a Full Professor with National Yunlin University of Science and Technology, Taiwan. He has published more than 300 research articles in refereed journals (IEEE TII, IEEE TITS, IEEE TNSE, IEEE TETCI, IEEE SysJ, IEEE SensJ, IEEE IOTJ, ACM TOSN) 11 edited books, as well as 1 patents (held and filed) and  5 projects  funded by National Science and Technology Council (NSTC), Taiwan, Ministry of IT of India and few international projects (CAS, Guangdong Research fund, Australian Research Council) cost worth of 500000 USD. Dr. Sangaiah has received many awards, Yushan Young Scholar, Clarivate Highly Cited Researcher (2021,2022 & 2023), Top 2% Scientist (Stanford Report-2020,2021,2022), PIFI-CAS fellowship, Top-10 outstanding researcher, CSI significant Contributor etc. Also, he is responsible for Editor-in-Chief, and Associate Editor of various reputed ISI journals. Dr. Sangaiah is a visiting scientist (2018-2019) with Chinese Academy of Sciences (CAS), China and visiting researcher of Université Paris-Est (UPEC), France (2019-2020) etc.

NB: Prof Arun Kumar Sangaiah is also an opponent of Mahtab Shahin's PhD thesis "Efficient and effective association rule mining on big data and cloud computing: a multi-dimensional analysis" and will participate as a member of the thesis defence committee. The defense will take place on September 27, 2024, starting at 10:00 in room ICT-638 (Akadeemia tee 15a) and will be accessible via the web application Zoom.