Research paper: Cross-cultural differences in consumers’ attention to food labels

Congratulations to Kenneth Ho, Fang Liu, Liudmila Tarabashkina, Thierry Volery for publishing their latest research article in the British Food Journal. Abstract Purpose Extended from Hofstede’s cultural framework, this study investigated the differences between the Australian (representing the Western culture) and Chinese (representing the Eastern Culture) consumers in regard to their attention paid to product attribute cues presented on …

Research Paper: An investigation of the suitability of melissopalynology to authenticate Jarrah honey

Congratulations to Md Khairul Islam, Ivan Lawag, Kathryn Green, Tomislav Sostaric, Katherine Hammer, Lee Yong Yim, and Cornelia Locher for their new publication in Current Research in Food Science. Abstract This study reports on the analysis of eleven Jarrah (Eucalyptus marginata) honeys, of which nearly half (n = 5) were re-classified as Blackbutt (E. patens) honey on …

Trust your honey – UWA Research Impact featuring Sharon Purchase

Professor Sharon Purchase, project leader for the CRC’s Chain of Custody research project, was recently featured in a UWA Research Impact article. Trust your honey “Head of Marketing Department, Professor Sharon Purchase, from the UWA Business School leads Research Program 4, Chain of Custody, as well as a several projects within the Program. She and her team were introduced …

Research Paper: Genetic Variation in Antimicrobial Activity of Honey Bee (Apis mellifera) Seminal Fluid

CRC researchers Shannon Holt and Julia Grassl have published a new research paper in Frontiers in Ecology and Evolution with associates Naomi Cremen, Paul Schmid-Hempel, and Boris Baer. Abstract Honey bees can host a remarkably large number of different parasites and pathogens, and some are known drivers of recent declines in wild and managed bee …

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 …