Mathematics and Data Science
Adam Stone
- Associate Lecturer, Data Science
- adam.stone1@jcu.edu.au
Yang Zhang
- Lecturer, Mathematics
- yang.zhang9@jcu.edu.au
Sophie Raynor
- Lecturer, Mathematics
- sophie.raynor@jcu.edu.au
Shaun Belward
- Associate Professor
- shaun.belward@jcu.edu.au
Patrick Higgins
- Senior Lecturer
- patrick.higgins@jcu.edu.au
Carla Ewels
- Senior Lecturer, Data Science and Statistics
- carla.ewels@jcu.edu.au
Yvette Everingham
- Professor, Promotional Chair
- yvette.everingham@jcu.edu.au
Dianna Hardy
- Casual Academic
- dianna.hardy@jcu.edu.au
Modelling Sugarcane Yields (Old ID 20032)
This project aims to develop an agro-statistical model to predict sugar yields. This is of vital important for marketers of Queensland's raw sugar who need to forward sell sugar to international customers.
Decision support for choice of enhanced efficiency fertilisers - Herbert catchment pilot study (Old ID 24740)
The use of Enhanced efficiency Fertilisers (EEF), including both controlled release fertilisers land fertilisers with nitrification inhibitors, has been proposed as one means of reducing nitrogen losses and, in combination with lower application rates, increasing nitrogen use efficiency. This project will investigate the utility of EEFs for sustainable farming practices.
Development and implementation of MathBench for Australian Universities to improve quantitative skills of science and mathematics students (Old ID 21655)
There is international agreement that quantitative skills (QS), the ability to apply mathematical and statistical thinking and reasoning within a given external context, are an essential graduate competence in science. Recent studies have shown a lack of availability of proven QS learning resources. MathBench, a suite of online modules that have been trialled, tested and adapted across several US universities, is a valuable QS learning resource for the US context. The project aim is to develop and implement MathBench as an Innovative online resource, for both desktop and mobile devices, to improve QS of science students at seven Australian universities.
Food Agility Biosecurity Constellation (Old ID 27057)
Constellations are clusters of projects grouped within a theme, Biosecurity, which are led by a Constellation Leader, JCU, who also has the experience and capabilities to contribute to the research within that theme. A Constellation has been between Food Agility and JCU based on a theme which demonstrates potential for multiple, related research projects with the potential for multiple industries and partners to participate over time.
Reducing nitrogen runoff without reducing industry productivity (Old ID 26960)
Many NESP TWQ Hub projects have contributed to an improved understanding of nitrogen (N) management in sugarcane farming leading to reduced dissolved inorganic nitrogen (DIN) losses via improved management advice and practical solutions. The synthesis project will bring together a range of approaches that are addressing mechanisms for reducing N-losses, with a particular focus on real-time water quality monitoring, detection of N- loss hot-spots, on-farm N management, reef credit trading and other economic levers that incentivise improved farm management practices.
GBRF Burdekin Irrigation Project. (Old ID 27063)
Increasing Industry Productivity and Profitability Through Transformational, Whole of Systems Sugarcane Approaches that Deliver Water Quality Benefits.
Tropical North Queensland Drought Resilience Adoption and Innovation Hub (Old ID 27718)
The TNQ Agricultural Innovation Hub is anchored as part of the established TNQ Drought Hub and will sit within the JCU ideas Lab in Cairns – on the traditional land of the Yirrganydji people. Under the TNQ Agricultural Innovation Hub (as part of the broader TNQ Drought Hub) JCU will bring together producers, agriculture companies, supply chain businesses, innovators, start-ups, investors, and researchers to drive agricultural innovation in Northern Australia. The TNQ Agricultural Innovation Hub can also leverage the expertise of JCU’s Innovation Advisory Committee (IAC) and Scientific and Technical Advisory Committee (STAC) as/when required to support new project concepts.
Statistical Data Mining Algorithms for Optimising Analysis of Spectroscopic Data from On-line NIR Mill Systems: Improving System Calibrations for Quality Measures (Old ID 22492)
NIR spectroscopy is a rapid, non-invasive method for determining cane quality attributes (e.g. CCS, brix, fibre and biomass). NIR methods for sugarcane are advanced and work well for 90% of cases. When NIR methods fail, industry must resort to expensive laboratory analysis. This project will involve using novel statistical data mining techniques applied to large NIR databases to investigate improved calibrations for cane quality measures. Specifically this project is interested cases that were previously difficult to calibrate. Improved calibrations will benefit industry through reduced costs associated with extensive laboratory analysis for samples unsuited for standard industry calibrations.
Climate Smart Sugarcane Irrigation Partnerships (CSSIP) (Old ID 24754)
CSSIP will minimise nutrient runoff, improve soil health and increase wetlands water quality by facilitating the adoption of world-class irrigation practices in sugarcane farming systems. Currently, best practice irrigation is assisted by an Irrigation Decision Support Tool (IDST) that provides evidence-based advice. However, IDSTs have not reached their full potential. Firstly, they do not integrate short to medium term weather forecasts (e.g. weekly to multi-weekly forecasts). Secondly, IDSTs do not operate at a spatial scale relevant to farmers. CSSIP will incorporate the Bureau or Meteorology’s new high-resolution climate model into the Irrigation Decision Support Tool. Thirdly, IDSTs require substantial time in manual data entry, which can be alleviated using real-time monitoring via Internet of Things technologies. This will increase irrigation efficiency, reducing excessive runoff into river systems and onto the Reef, and, will help farmers save water and energy costs.
Tropical North Queensland Drought Resilience Adoption and Innovation Hub (TNQ Hub)
This project will establish, implement and manage the TNQHub (“Hub”) activities including collaborative research, development, extension, adoption and commercialisation (RDEA&C). The Hub will help Australian farmers and communities become more prepared for, and resilient to, the impacts of drought. The objective is to invest in RDEA&C activities, which involves: - Cross-sectoral innovative and transformative RDEA&C - Focus on the needs of end users, involving them in the co-design and adoption phases of research and development - Delivery of effective communication of new and existing knowledge and technologies - Co-investment in national drought resilience RDEA&C priorities with collaboration and co-design between governments, primary producers, community groups, research and training provider
Optimising series solution methods for flow over topography - Part 1
- 2005
- Cambridge University Press
- Researchers:Patrick HigginsShaun Belward
Efficient series solutions for non-linear flow over topography
- 2003
- Cambridge University Press
- Researchers:Shaun BelwardPatrick Higgins
Optimising series solution methods for flow over topography - Part 2
- 2005
- Cambridge University Press
- Researchers:Shaun BelwardPatrick Higgins
A simple model for oilspill containment
- 2001
- Cambridge University Press
- Researchers:Shaun Belward
Advanced satellite imagery to classify sugarcane crop characteristics
- 2007
- EDP Sciences
- Researchers:Yvette Everingham
Preparation of students for tertiary studies requiring mathematics
- 2007
- Australian Mathematical Society
- Researchers:Shaun Belward
Exploring the capabilities of a long lead climate forecasting system for the NSW sugar industry
- 2007
- Australian Society of Sugar Cane Technologists
- Researchers:Yvette EveringhamCarla Ewels
Start Date:
01 Jan 2020
Start Date:
01 Jan 2015
Start Date:
01 Jan 2011
Start Date:
01 Jan 2010
End Date:
01 Jan 2022
Start Date:
01 Jan 2014
Start Date:
01 Jan 2025
End Date:
01 Jan 2027
Start Date:
01 Jan 2024
End Date:
01 Jan 2025
Start Date:
01 Jan 2014
Start Date:
01 Jan 2008
Start Date:
01 Jan 2018
End Date:
01 Jan 2019