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

• MA2830: Data Visualisation (Level 2; CNS & TSV)
• MA3405: Statistical Data Mining for Big Data (Level 3; CNS & TSV)
• MA5405: Data Mining (Level 5; TSV)
• SC2202: Quantitative Methods in Science (Level 2; CNS & TSV)
• SC5202: Quantitative Methods in Science (Level 5; CNS & TSV)

Research Disciplines

• Statistics (0104)
• Agriculture, Land and Farm Management (0701)
• Environmental Science and Management (0502)

Socio-Economic Objectives

• Industrial Crops (8203)

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

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

• Brice S, Ness K, Everingham Y, Rosemond D and Judge L (2018) Analysis of the separation angle between the thorax and pelvis, and its association with performance in the hammer throw. International Journal of Sports Science & Coaching, 13 (6). pp. 993-1000
• D'Lima C, Everingham Y, Diedrich A, Mustika P, Hamann M and Marsh H (2018) Using multiple indicators to evaluate the sustainability of dolphin-based wildlife tourism in rural India. Journal of Sustainable Tourism, 26 (10). pp. 1687-1707
• Sexton J, Everingham Y, Donald D, Staunton S and White R (2018) A comparison of non-linear regression methods for improved on-line near infrared spectroscopic analysis of a sugarcane quality measure. Journal of Near Infrared Spectroscopy, 26 (5). pp. 297-310
• Cleguer C, Garrigue C, Fuentes M, Everingham Y, Hagihara R, Hamann M, Payri C and Marsh H (2017) Drivers of change in the relative abundance of dugongs in New Caledonia. Wildlife Research, 44 (4). pp. 365-376
• Everingham Y, Gyuris E and Connolly S (2017) Enhancing student engagement to positively impact mathematics anxiety, confidence and achievement for interdisciplinary science subjects. International Journal of Mathematical Education in Science and Technology, 48 (8). pp. 1153-1165
• Sexton J, Everingham Y and Inman-Bamber G (2017) A global sensitivity analysis of cultivar trait parameters in a sugarcane growth model for contrasting production environments in Queensland, Australia. European Journal of Agronomy, 88. pp. 96-105

Conference Papers

• Wang E, Attard S, McGlinchey M, Xiang W, Philippa B, Linton A and Everingham Y (2019) Smarter irrigation scheduling in the sugarcane farming system using the Internet of Things. Proceedings of the 41st Annual Conference of the Australian Society of Sugar Cane Technologists. In: ASSCT 2019: 41st Annual Conference of the Australian Society of Sugar Cane Technologists, 30 April - 3 May 2019, Toowoomba, QLD, Australia
• Sexton J, Everingham Y, Donald D, Staunton S and White R (2018) A feasibility test for detection of atypical cane samples using near infrared spectroscopy. Proceedings of the 40th Annual Conference of the Australian Society of Sugar Cane Technologists. In: ASSCT 2018: 40th Annual Conference of the Australian Society of Sugar Cane Technologists, 17-20 April 2018, Mackay, QLD, Australia
• Thorburn P, Biggs J, Skocaj D, Schroeder B, Sexton J and Everingham Y (2018) Crop size and sugarcane nitrogen fertiliser requirements: Is there a link? Proceedings of the 40th Annual Conference of the Australian Society of Sugar Cane Technologists. In: ASSCT 2018: 40th Annual Conference of the Australian Society of Sugar Cane Technologists, 17-20 April 2018, Mackay, QLD, Australia
• Wang E, Attard S, Everingham Y, Philippa B and Xiang W (2018) Smarter irrigation management in the sugarcane farming system using internet of things. Proceedings of the 40th Annual Conference of the Australian Society of Sugar Cane Technologists. In: ASSCT 2018: 40th Annual Conference of the Australian Society of Sugar Cane Technologists, 17-20 April 2018, Mackay, Queensland
• Sexton J, Everingham Y, Skocaj D, Biggs J, Thorburn P and Schroeder B (2017) Identification of climatological sub-regions within the Tully mill area. Proceedings of the 39th Annual Conference of the Australian Society of Sugar Cane Technologists. In: ASSCT 2017: 39th Annual Conference of the Australian Society of Sugar Cane Technologists, 3-5 May 2017, Cairns, QLD, Australia
• Sexton J, Everingham Y and Donald D (2017) A comparison of data mining algorithms for improving NIR models of cane quality measures. Proceedings of the 39th Annual Conference of the Australian Society of Sugar Cane Technologists. In: ASSCT 2017: 39th Annual Conference of the Australian Society of Sugar Cane Technologists, 3-5 May 2017, Cairns, QLD, Australia

More

ResearchOnline@JCU stores 88+ research outputs authored by Prof Yvette Everingham from 1996 onwards.

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

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

• 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/Adv)
• Searching for Pulsating Stars in the Gap Between the SPB and d Scuti Domains Through Machine Learning and Data Mining Techniques (PhD , Secondary Advisor)
• Developing Benthic Irradiance Algorithm for the Great Barrier Reef Shelf Waters using MODIS Satellite Imagery (PhD , Secondary Advisor/AM)

Completed

• Improving sugarcane nitrogen management in the Wet Tropics using seasonal climate forecasting (2016, PhD , Primary Advisor)
• The non-invasive assessment of avocado maturity and quality (2018, PhD , Secondary Advisor)
• Bayesian statistical calibration of variety parameters in a sugarcane crop model (2015, Masters , Primary Advisor)
• Harnessing seasonal GCM forecasts for crop yield forecasting through multivariate forecast post-processing methods (2019, PhD , Primary Advisor/AM/Adv)

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.