Waite Research Institute Webinar Series: Dr Huajian Liu
Oct 8, 11:00 am - 12:00 pmFree
The WRI is pleased to announce that our research seminar series is BACK – although now online! Register now to join in from your office, couch – anywhere you like!
This webinar series showcases the excellent science our members, affiliates and collaborators are undertaking across the agriculture, food and wine sectors. Expand your network and find new collaborators!
Everyone is welcome – webinars are generally scheduled at 11am on Thursdays, with some exceptions. Registration is required.
Dr Huajian Liu – Hyperspectral technologies for plant phenotyping
WHEN: Thursday 8 October 2020, 11:00 am
Among many plant phenotyping methods, hyperspectral imaging (HSI) is the fastest growing and promising approaches for measuring multiple plant parameters. There are many types of HSI sensors available with each being designed for a specific purpose. Also, the same sensor could be set up and calibrated in different ways to measure different plant parameters on various platforms.
This presentation aims to provide a general guide for the users of HSI technologies in the society of plant phenotyping. It first reviews the preliminary knowledge of HSI and then provides the detail of plant phenotyping using different HSI sensors on various platforms at different scales. Following that, the problems and challenges of close-range HSI of plants are discussed and potential solutions are suggested. Lastly, a case study is provided to evaluate the capability of different hyperspectral sensors in proximal sensing of nitrogen content in wheat leaves by comparing three hyperspectral cameras and a non-imaging spectrometer.
About the speaker
From 2015 to 2018, I did my PhD of computer vision for pest detection on crops at the University of South Australia. In 2018, I joined The Plant Accelerator, the University of Adelaide as a post-doctoral researcher and spent two years in using hyperspectral images to estimate nitrogen content in wheat. I am currently working as a research fellow in The Plant Accelerator and my research interests include hyperspectral- and 3D-based plant phenotyping, computer vision, machine learning and deep learning in agriculture, optical sensing system design, bio-inspired machine vision system, bird vision, insect vision, high-dimensional colour space, image processing, 3D model reconstruction and object recognition