Predicting And Mapping Of Honey Flow From Corymbia Calophylla Trees With Remote Sensing
MetadataShow full item record
The thesis presents research into predicting and mapping seasonal honey production from marri trees (Corymbia calophylla) in Western Australia, which produce some of the highest antimicrobial honey in the world. Through a combination of drone imagery, satellite and weather data and machine learning, a model to predict honey yields to 90% accuracy has been developed as well as several tools to map flower coverage during the honey producing season.
Showing items related by title, author, creator and subject.
Effect of addition of whey protein isolate on spray-drying behavior of honey with maltodextrin as a carrier materialShi, Q.; Fang, Zhongxiang; Bhandari, B. (2013)The efficiency of two drying carriers, namely whey protein isolate (WPI) and maltodextrin (MD), alone or in combination, was evaluated during spray-drying of honey. No powder was recovered when pure honey was spray-dried. ...
Batt, Peter; Liu, Aijun (2011)Purpose – This paper aims to explore the factors impacting and influencing the consumer's decision to purchase honey in a retail store. Design/methodology/approach – Data were collected from shopping mall intercepts in ...
Caridi, L.; Bruni, I.; Galimberti, A.; Scaccabarozzi, Daniela ; De Mattia, F.; Casiraghi, M.; Labra, M. (2015)The purpose of this study was to test the ability of DNA barcoding to identify the plant origins of processed honey. Four multifloral honeys produced at different sites in a floristically rich area in the northern Italian ...