About

Yvette is a data scientist dedicated to (i) identifying strategies that will deliver better student learning outcomes in STEM education, and, (ii) helping agricultural industries discover environmentally friendly ways they can increase productivity in challenging climates. 

Yvette completed her PhD at JCU in 1998 where she developed new statistical methods to visualise and unlock important information hidden in complex, chemical, near-infrared (NIR) signatures of minerals, seagrass, sugarcane, wheat and pharmaceutical products. After completing her PhD, Yvette commenced a four year term with the CSIRO as a climate impact scientist.  Currently, Yvette holds a position as an Associate Professor at JCU and Expert Team Leader with the World Meteorological Organisation looking at weather, climate extremes and agricultural industry needs.

Yvette is also a member of the Rapid Assessment Joint Venture between JCU and the Department of Agriculture and Fisheries which focuses on using NIR technologies to assess food quality and advance food security.  She is an Associate Editor for the Journal of Agronomy for Sustainable Development and member of the JCU Masters of Data Science Team. Previous roles include the Associate Dean of Graduate Research Studies (JCU) and Statistical Consultant for the Graduate Research School (JCU).

 

 

Teaching
  • MA2405: Advanced Statistical Modelling (Level 2; TSV)
  • MA3405: Statistical Data Mining for Big Data (Level 3; TSV)
  • MA5405: Data Mining (Level 5; TSV)
  • SC1102: Modelling Natural Systems (Level 1; TSV)
  • SC2202: Quantitative Methods in Science (Level 2; CNS & TSV)
  • SC5202: Quantitative Methods in Science (Level 5; CNS & TSV)
Research Disciplines
Socio-Economic Objectives
Honours
Awards
  • 2014 - Office for Learning and Teaching Citation for outstanding contributions to student learning.
  • 2014 - JCU Citation for outstanding contributions to student learning.
  • 2008 - Sugar Research and Development Award for outstanding research contributions to the Australian sugar industry.
Memberships
  • 2010 - Associate Editor: Agonomy for Sustainable Development
Other
  • 2015 - Expert Team Leader, World Meteorological Organisation (Weather and Climate Extremes and Agricultural Industry Needs)
  • 2014 - Delivered the Last Lecture for James Cook University
  • 2011 - Invited speaker at the 12th ACP (African-Caribbean-Pacific Island) Ministerial Conference on Sugar
Publications

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles
Conference Papers
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ResearchOnline@JCU stores 82+ research outputs authored by A/Prof Yvette Everingham from 1996 onwards.

Current Funding

Current and recent Research Funding to JCU is shown by funding source and project.

Department of Agriculture and Water Resources - National Landcare Program: Smart Farming Partnerships Grant

Climate Smart Sugarcane Irrigation Partnerships (CSSIP)

Indicative Funding
$1,586,884 over 5 years
Summary
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.
Investigators
Bronson Philippa, Yvette Everingham, Eric Wang and Stephen Attard in collaboration with Geoff Inman-Bamber, Marian Davis, Andrew Schepen, Brock Dembowski, Peter Larsen and Andres Jaramillo (College of Science & Engineering, AgriTech Solutions, Burdekin Productivity Services, Commonwealth Scientific & Industrial Research Organisation, Department of Agriculture, Fisheries and Forestry, Wilmar Sugar Australia and Sugar Research Australia)
Keywords
Sugarcane; Internet of Things; Irrigation

Sugar Research Australia - Research Grant

Unravelling the impact of climate and harvest time on nitrogen fertiliser requirements

Indicative Funding
$281,721 over 5 years (administered by Sugar Research Australia)
Summary
This project aims to understand how climate and harvest time impacts nitrogen use efficiency on the sugarcane farming system in the Herbert.
Investigators
Yvette Everingham (College of Science & Engineering)
Keywords
Climate; Environment; Sugar; Sustainability; Nitrogen; Production

Sugar Research Australia - Research Grant

Decision support for choice of enhanced efficiency fertilisers - Herbert catchment pilot study

Indicative Funding
$2,900 (administered by CSIRO)
Summary
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.
Investigators
Kirsten Verburg, Lawrence Di Bella and Yvette Everingham (Sugar Research Australia, Herbert Cane Productivity Services Ltd and College of Science & Engineering)
Keywords
fertilisers; Herbert catchment

Department of the Environment and Energy - National Environmental Science Program (NESP) - Tropical Water Quality Hub (TWQ Hub)

Innovative economic levers: A system for underwriting risk of practice change in cane-farming

Indicative Funding
$30,000 over 3 years (administered by CSIRO)
Summary
This project will enable reduced DIN exports from cane lands by developing and promoting a tested framework for commercial insurance businesses to underwrite risk of nitrogen practice change in sugarcane farming.
Investigators
Peter Thorburn and Yvette Everingham in collaboration with Stuart Whitten, John Rolfe, Jody Biggs and Jeda Palmer (Commonwealth Scientific & Industrial Research Organisation, Central Queensland University and College of Science & Engineering)
Keywords
Sugar Cane; Water Quality; Insurance; Climate; Nitrogen; Agriculture

Department of the Environment and Energy - National Environmental Science Program (NESP) - Tropical Water Quality Hub (TWQ Hub)

Improving water quality for the Great Barrier Reef and wetlands by better managing irrigation in the sugarcane farming system

Indicative Funding
$458,103 over 3 years
Summary
This project will work in partnership with industry, extension, NRM, research and government organisations to develop and deploy an irrigation system that is automatically controlled by remotely accessing feedback from the IrrigWeb decision support tool. Irrigweb provides optimal irrigation schedules on a paddock-by-paddock basis by linking information abut climate, soils and management regimes. If new water quality targets as specified in the revised Burdekin Water Quality Improvement Plan are to by met by 2025, it will be critical to establish pathways that enable industry partners to capitalise on new technologies.
Investigators
Yvette Everingham, Wei Xiang and Bronson Philippa in collaboration with Stephen Attard (College of Science & Engineering and AgriTech Solutions)

Sugar Research Australia - Research Grant

Optimising productivity, variety recommendations and mill operations through analysis of mill data

Indicative Funding
$11,927 over 2 years (administered by Sugar Research Australia)
Summary
Since 20009 sugarcane productivity has fluctuated dramatically across most mill areas. Although some of this regional variation can be explained by extreme weather events or disease incursions it is important to identify those causes which can be controlled in order to increase production/profitability for industry. Hugh amounts of data are captured annually by each mill and this significant investment is under-utilised in decision making. This project will develop innovative tools to analyse and summarise mill data with the view to optimize production/profitability.
Investigators
Joanne Stringer, Isaac Asamoah, Felicity Atkin, Bert Collard, Barry Croft, Emily Deomano, Brian Edwards, Yvette Everingham, Eloise Keefe, Peter Larsen, Roy Parfitt, George Peperidis, Bernard Schroeder, Greg Shannon, Danielle Skocaj, Alister Smith, Steve Staunton, Paul Stuart, Andrew Ward, Mick Ward and Xianming Wei (Sugar Research Australia, Wilmar Sugar Australia, College of Science & Engineering, University of Southern Queensland, Tully Sugar Ltd, Sunshine Sugar, Mackay Sugar Limited (MSL) and MSF Sugar Australia)
Keywords
Data Mining; Big Data; Production; Optimisation; Sugar Cane; Statistics

Sugar Research Australia - Research Grant

How big will that crop be? Incorporating climate forecasting into Nitrogen management in the Wet Tropics

Indicative Funding
$511,002 over 3 years
Summary
Due to the close proximity of sugarcane to environmentally sensitive areas in the Wet Tropics, it is important to improve nitrogen management practices to reduce nitrogen losses. The Wet Tropics experiences one of the highest levels of climate variability in the world, which affects the yield potential of sugarcane. This makes the task of applying the right amount of nitrogen, at the right time extremely formidable. Forecasted climatic conditions, then adjusting yield potential estimates have not been used to calculate nitrogen inputs for sugarcane.
Investigators
Yvette Everingham, Danielle Skocaj and Peter Thorburn in collaboration with Geoff Inman-Bamber and Bernard Schroeder (College of Science & Engineering, Commonwealth Scientific & Industrial Research Organisation, Sugar Research Australia, Crop Science Consultant and University of Southern Queensland)
Keywords
Model; circulation; Climate; Crop Insurance; APSIM; Nitrogen

Sugar Research & Development Corporation - Research Project

Developing targeted, seamless weather/climate forecasting systems for critical early season harvest periods

Indicative Funding
$51,330 over 3 years (administered by University of Southern Queensland)
Summary
The overall achievement of this research will be the attainment of a new weather/climate forecast system/product targeted and specifically focussed for the Australian sugar industry needs - especially the important harvest periods and which will provide substantial and measurable improvement over currently available systems.
Investigators
Roger Stone and Yvette Everingham (University of Southern Queensland and College of Science & Engineering)
Keywords
Statistics; circulation model; Climate; Weather; modelling; Harvest

University of Southern Queensland - Contract Research

Modelling Sugarcane Yields

Indicative Funding
$631,039 over 5 years
Summary
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.
Investigators
Yvette Everingham in collaboration with Geoff Inman-Bamber and Justin Sexton (College of Science & Engineering)
Keywords
Sugar; Crop Agro-meteorology; Model; Statistics; Climate

Sugar Research Australia - Research Grant

Modelling extreme yields in the wet tropics to improve nitrogen use efficiency

Indicative Funding
$38,500 over 2 years
Summary
The wet tropics experiences one of the highest levels of climate variability in the world. Given the close proximity of sugarcane growing regions in the wet tropics to the Great Barrier Reef, the sugar industry is frequently scrutinised about nitrogen management activities. The amount of nitrogen applied to the crop is dependent on the size of the crop. Therefore, it is important to know in advance the size of the crop so optimal industry practices can be deployed.
Investigators
Yvette Everingham in collaboration with Geoff Inman-Bamber, Danielle Skocaj and Bernard Schroeder (College of Science & Engineering, Crop Science Consultant, Sugar Research Australia and University of Southern Queensland)
Keywords
Statistical Analysis; circulation model; Climate; Crop Insurance; Model; forecast
Supervision

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

Current
  • Developing Benthic Irradiance Algorithm for the Great Barrier Reef Shelf Waters using MODIS Satellite Imagery (PhD , Secondary Advisor/AM)
  • Searching for Pulsating Stars in the Gap Between the SPB and d Scuti Domains Through Machine Learning and Data Mining Techniques (PhD , Secondary Advisor)
  • Data Mining Algorithms for Optimising Analysis of Spectroscopic Data from on-line NIR Mill Systems: Improving System Calibrations for Quality Measures. (PhD , Primary Advisor/AM)
  • Harnessing the Forecasting Power of Seasonal GCMs for Water and Agricultural Management (PhD , Primary Advisor/AM)
Completed
Collaboration

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.

  • 5+ collaborations
  • 4 collaborations
  • 3 collaborations
  • 2 collaborations
  • 1 collaboration
  • Indicates the Tropics (Torrid Zone)

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Location
  • 14.119C, Engineering & Physical Sciences 2 (Townsville campus)
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