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