Biplob RayBiplob Ray will deliver an informative talk that delves into the possibilities and challenges involved in automating Unmanned Aerial Vehicles (UAVs) for intelligent and precise herbicide spraying, aiming to eliminate weeds. The talk will cover variou topics, ranging from UAV image collection to processing using machine learning to detect weeds to prepare weed maps. The coordinates of the detected weeds can then be utilised by spraying UAVs for precision herbicide spraying. Attendees can expect to understand better how the entire process can be made more efficient and automated, resulting in reduced costs and increased crop yield. Bio: Biplob Ray (Senior Member, IEEE) is currently an Associate Professor and research cluster leader in CML-NET (Centre for Machine Learning - Networking and Education Technology), School of Engineering and Technology (SET), Central Queensland University (CQU), Melbourne, Australia. A/Prof. Ray is elected Vice-Chair (2024-25) of the IEEE Victorian Section. He is an outstanding researcher with a background mix of research, academic, and industry experience. A/Prof. Ray is highly interested in multidisciplinary research with core interests in smart farming and secure communication protocols of Cyber-Physical systems driven by Artificial Intelligence (AI), the Internet of Drones (IoD), and the Internet of Things (IoT). As a lead Chief Investigator (CI) or CI, Associate Professor Ray has received research funding of over three million from the Australian Federal Government and industry since 2016. He has received several awards, including the Dean's Awards for Outstanding Researchers in 2023 (Mid-Career Research Category) and 2019 (Early-Career Research Category), as well as a Vice-Chancellor's commendation Award for being outstanding researcher in both years. He has also served (or is serving) as a guest editor, editorial board member, and reviewer in reputable journals and as a keynote speaker, organising chair, PC member, and reviewer for several conferences since 2012. Read More Read Less