This project aims to optimise honey bee colony health by developing low-cost sensor arrays.
The supervisory team for this project also includes Dr Ash Rahman (Data61) and Dr John Roberts (CSIRO).
A complimentary scholarship for this project is available. To find out more, refer to the Postgraduate Research Stipend and Supplementary Scholarship in Digital Agriculture Data61.
School of Life and Environmental Sciences
PHD
We intend to develop an integrated monitoring system that detects colony problems before they are otherwise apparent. We are looking for a student to develop integrated sensor arrays that can monitor and analyse honey bee colony parameters such as humidity, acoustic activity, brood temperature, forager activity and colony weight. While a few such systems exist commercially, they are prohibitively expensive, do not necessarily monitor the most relevant hive parameters, and lack sophisticated, data-driven analysis. Second, we want to combine sensor technology and analysis techniques to develop a user-friendly decision tool that helps beekeepers optimise colony health through early detection of potential problems. This project would be ideally suited to a student with a background in engineering and computer science and with a strong interest in honey bees.
The supervisory team for this project also includes Dr Ash Rahman (Data61) and Dr John Roberts (CSIRO).
A complimentary scholarship for this project is available. To find out more, refer to the Postgraduate Research Stipend and Supplementary Scholarship in Digital Agriculture Data61.
In addition to the academic requirements set out in the Science Postgraduate Handbook, you may be required to satisfy a number of inherent requirements to complete this degree. Example of inherent requirement may include:
The opportunity ID for this research opportunity is 2352