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Machine Learning Regression Model for Predicting Honey Harvests

June 24, 2021 @ 4:00 pm - 5:00 pm

The Australian Space Data Analysis Facility (ASDAF) is hosting a FREE event, investigating whether machine learning methods can develop predictive harvest models of a key nectar source for honeybees using data from weather stations and remotely sensed datasets.

The seminar will be presented by Dr Tristan Campbell.

Tristan is an experienced geoscientist, with over 20 years of experience in the application of remote sensing and geophysical methods to engineering, environmental and agricultural sectors. His doctoral research resulted in a method for quantitative prediction of honey harvests in Western Australia, which is available to the bee industry through a geospatial portal for beekeepers to assess site weather conditions and expected harvests. Tristan is currently researching methods for improving weather data accuracy as model inputs and the effects of fire regimes on honey production and biodiversity.

Places are limited so registration is required. Don’t miss out!

Register to attend event in-person: https://bit.ly/3gD0URq (Light refreshments will be provided)

Register to attend event online:  https://bit.ly/3vw6GJ7

Light refreshments will be provided.


June 24, 2021
4:00 pm - 5:00 pm


Curtin University – Building 216, Level 2, ICP Colab Area