Enabling and Disrupting Technologies

Mapping cotton fields using phenology-based metrics derived from a time series of Landsat imagery 
Dhahi Al-Shammari, Thomas F.A. Bishop, Ignacio Fuentes and Patrick Filippi

Proximal sensing technologies on soils and plants in the Eyre Peninsula 
Fabio Arsego and Helena Oakey

Validation of novel in-field monitoring techniques to assist harvest aid timing in cotton
Michael Bange, Robert Long, Jane Caton, and Darin Hodgson

A robust and rapid pollen viability test using impedance flow cytometry for high throughput screening of heat tolerant wheat (Triticum aestivum) germplasm 
Anowarul I. Bokshi, Daniel K.Y. Tan and Richard M. Trethowan

Weather Together – Building the weather forecasts farmers want 
Jaclyn N. Brown, Andrew Schepen, David Robertson, Simon Allen, Chris Sharman, Christopher Nunn, Alister Hawksford, Michael Bange, Vicki Lane and Alicia Garden

AgScore – An agricultural perspective on climate model skill 
Jaclyn Brown, Chris Sharman, Dean Holzworth, Philip J. Smethurst, Javier Navarro Garcia, Garry Hopwood

Crop SI, a yield estimation model based on earth observation and meteorological-driven stress indices   
Yang Chen, Randall J. Donohue, Tim R. McVicar, François Waldner, Gonzalo Mata, Noboru Ota, Alireza Houshmandfar, Kavina Dayal and Roger A. Lawes

A spatially distributed on-farm experimental approach for the development of a sensor-based nitrogen decision model
A.F. Colaço and R.G.V. Bramley 

Predicting summer rainfall in coastal NE Australia for improved farming practices in sugar cane 
Kavina Dayal, Jaclyn Brown and Peter Thorburn

Using machine learning to sharpen agronomic insights to improve decision making in Australian cotton systems 
Kavina Dayal, Tim Weaver, Michael Bange and CSD Ltd. Extension & Development Team

Space-based monitoring of Australian paddock-scale crop yields 
Donohue, R.J. and Lawes, R.A.

Making more informed sensor decisions for better farm management 
Glenn J Fitzgerald and Eileen M Perry

Financial risk profiles for dryland cotton by APSIM-Ozcot & @Risk  
Sosheel Solomon Godfrey, Muhuddin Rajin Anwar and Thomas Lee Nordblom

The potential of using LAI time series to predict plant available water capacity (PAWC) of soils 
Di He and Enli Wang

Development of a pest identification mobile phone application for mungbean in Cambodia 
Isabel C. Hinchcliffe, Rosanne Quinnell, Robert Martin, Van Touch and Daniel K.Y. Tan

Graincast: Near real time wheat yield forecasts for Australian growers and service providers 
Zvi Hochman and Heidi Horan

Extraction of phenotypic traits using unmanned aerial vehicle for field experiments in the agronomy and crop breeding 
Pengcheng Hu, Bangyou Zheng and Scott Chapman

Monitoring grain production across the Australian continent 
Roger A. Lawes, Joanne Chai, Yang Chen, Randall J. Donohue, Gonzalo Mata, Zvi Hochman, Franz Waldner, Chris Sharman and Roger Butler

Adaptive digital tools for nitrogen management: utilising remote sensing data, modelling and sparse ground truthing 
Christine Lion, Ben Jones and Anastasiia Volkova

Crop Livestock Enterprise Model (CLEM) – a tool to support decision-making at the whole-farm scale 
Elizabeth Meier, Di Prestwidge, Adam Liedloff, Shaun Verrall, Skye Traill and Mike Stower

What makes a ‘good’ seasonal forecast? Delivering actionable climate outlooks for grains farming 
Patrick J. Mitchell and Jaclyn N. Brown

PAT: Accessible tools for precision agriculture data analysis
Christina Ratcliff, David Gobbett and Rob Bramley 

Online Farm Trials (OFT) – the past, present and future 
Nathan Robinson, Peter Dahlhaus, Paul Feely, Kate Light, Andrew MacLeod, Rob Milne, Julie Parker, Helen Thompson, Judi Walters and Ben Wills

Identifying within-season cotton crop nitrogen status using multispectral imagery  
Jordan Romeo, Patrick Filippi, Jon Baird, Anastasia Volkova and Daniel K.Y. Tan

Coupling fused high spatio-temporal resolution remote sensing data and crop modelling to predict wheat yield at the field scale 
Yuval Sadeh, Xuan Zhu, Karine Chenu and David Dunkerley

An estimate of carrying capacity of land for ruminant livestock production across southern Australia, using gridded batch simulation modelling
Dean T. Thomas, Eric J. Zurcher, Gonzalo Mata, Neville I. Herrmann and Dave A. Henry

'Digital agriculture' helping farmers reduce impacts of cropping on the Great Barrier Reef
Peter J. Thorburn, Peter Fitch, YiFan Zhang, Yuri Shendryk, Tony Webster, Jody Biggs, Martijn Mooij, Catherine Ticehurst, Maria Vilas and Simon Fielke

The use of computer simulation as a decision making tool to improve machinery set-up, usage and performance 
Mustafa Ucgul, Chris Saunders and Jack Desbiolles

Mapping rare and infrequent crops from space 
François Waldner, Yang Chen, Roger Lawes and  Zvi Hochman

Predicting soil water holding capacity from climate and crop yield 
Enli Wang, Di He and Zhongkui Luo

Improving the FAIRness of Australia’s grains research sector data  
Ben Wills, Julie Parker, Nathan Robinson and Megan Wong