高永晟教授学术报告

发布者:叶虹敏发布时间:2019-06-24浏览次数:640

报告名称Vision Perception for Driving Farming Productivity

报告人:高永晟教授

报告时间:2019625 (星期二) 16001700       

报告地点:二教南228会议室

 

报告摘要Smart farming 4.0 studies new knowledge, technologies and devices for automation in agriculture and aquaculture, early detection of pest and plant disease, automatic species identification, plant phenomics, better water resource management, land environment monitoring, costal environment monitoring, marine life surveillance, etc. In this talk, he will introduce some of their work on automation in agriculture and aquaculture, faster grading and packing, species and cultivar identification, pest and disease recognition at Environmental Informatics@Griffith and ARC Industrial Transformation Research Hub for Driving Farming Productivity and Disease Prevention, including recognition without detection, large image database retrieval (speed vs accuracy), and new advancement of visual classification from species to cultivar.

 

报告人简介:Professor Yongsheng Gao is the Director of Australian Research Council (ARC) Research Hub for Driving Farming Productivity and Disease Prevention, the founding Leader of the Environmental Informatics flagship group at Griffith University, Australia. He served as the project leader of Biosecurity Group, National ICT Australia (ARC Centre of Excellence) from 2009 to 2011. He is a current member of College of Experts (Panel Member), Australian Research Council. As a Chief Investigator, he has been working on projects in Australia, Singapore, Germany, and China in the areas of smart farming, biosecurity, face recognition, biometrics, image retrieval, computer vision, pattern recognition, environmental informatics, and medical imaging. He was also employed as a consultant by Panasonic Singapore Laboratories Pte Ltd working on the face recognition standard in MPEG-7. His research are reported in the media in Australia and Singapore, including The Australian, The Courier Mail, The Sydney Morning Herald, and The Straits Times (Singapore).

 


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