Research Paper: Phylogenomic analysis confirms polyphyly of Leptospermum and delineates five major clades that warrant generic recognition

Check out the latest research from Rachel Binks, Margaret Heslewood, Peter Wilson, Margaret Byrne! Leptospermum taxonomy has created its challenges across Australia during the many efforts to commercialise these species for honey production. Not all species produce the sought-after dihydroxyacetone (DHA) in their nectar that during the honey maturation process, forms methyl glyoxal (MGO), so understanding what …

Research Paper: Design and Conservation Strategies for Urban Biodiversity in Australian Botanic Gardens

 PhD candidate Yuqi Yang, Maria Ignatieva, and Andrea Gaynor have published a paper in Landscape Architecture titled: Design and Conservation Strategies for Urban Biodiversity in Australian Botanic Gardens. Abstract Due to the differences in landscape origins, physical environment conditions, and socio-economic development, there are different approaches to understanding urban biodiversity and the way it intersects …

Honey Signatures: ICRAR meets the CRCHBP

Read all about the collaboration between the International Centre for Radio Astronomy Research (ICRAR) and the CRC for Honey Bee Products in their latest case study: Honey Signatures. Honey Signatures involves a shared project with ICRAR’s Data Intensive Astronomy team to use machine learning to identify the unique chemical signature of different honey varieties. Check out …

Research poster showcased at the International Conference on Food Analysis (ICFA) 2021

Congratulations to Md Khairul Islam, Kevin Vinsen, Lee Yong Lim, Katherine Hammer, and Cornelia Locher for showcasing their poster at the International Conference on Food Analysis (ICFA) 2021! Md Khairul Islam presented the poster, ‘Development of a Phytochemical Reference Profile for Honey Based on HPTLC and Machine Learning’, at the virtual conference in November 2021. …

WE-Bee: Weight Estimator for Beehives Using Deep Learning

The work of our PhD student Omar Anwar titled “WE-Bee: Weight Estimator for Beehives Using Deep Learning” has been accepted at 36th Conference on Artificial Intelligence #AAAI2022. This work uses a hybrid of soft sensing and time series forecasting to estimate the daily weight variations. This is the very first work on estimating the weight variations …

Research Paper: Detection of syrup adulterants in manuka and jarrah honey using HPTLC-multivariate data analysis

A new research article from Md Khairul Islam, Connie Locher, Kevin Vinsen, Tomislav Sostaric, and Lee Yong Lim! Abstract High-Performance Thin-Layer Chromatography (HPTLC) was used in a chemometric investigation of the derived sugar and organic extract profiles of two different honeys (Manuka and Jarrah) with adulterants. Each honey was adulterated with one of six different …

Hira Shaukat – Soil mapping using electromagnetic induction for Leptospermum nitens survival and growth in Western Australia

Watch PhD candidate Hira Shaukat discuss her research on Leptospermum nitens. Abstract Australia has an abundance of native Leptospermum species, which is renowned for being the source of high-value bio-active honey production. Leptospermum nitens is one of the species identified with the potential of making WA a ‘hot spot’ for producing bioactive honey. I will …

Dan Dixon chats with Google Earth

PhD student Dan Dixon recently gave a talk in Google Earth’s Geo for Good Lightning Talks Series, Episode #5: Nature Conservation. In his talk, ‘Satellite prediction of forest flowering phenology’, Dan discussed his recently published research and its possible applications. He also took part in the Q&A portion with the other presenters. “So with this …