Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality

Articles citing this paper

A Bayesian modelling approach for long lead sugarcane yield forecasts for the Australian sugar industry

Y. L. Everingham A B E , N. G. Inman-Bamber A , P. J. Thorburn C and T. J. McNeill D
+ Author Affiliations
- Author Affiliations

A CSIRO Sustainable Ecosystems, Davies Laboratory, Townsville, Qld 4814, Australia.

B School of Mathematical and Physical Sciences, James Cook University, Townsville, Qld 4814, Australia.

C CSIRO Sustainable Ecosystems, Queensland Bioscience Precinct, 306 Carmody Rd, St Lucia, Qld 4067, Australia.

D Sugar InSite Pty Ltd, Kangaroo Pt, Brisbane, Qld 4169, Australia.

E Corresponding author. Email: yvette.everingham@jcu.edu.au

Australian Journal of Agricultural Research 58(2) 87-94 https://doi.org/10.1071/AR05443
Submitted: 19 December 2005  Accepted: 27 October 2006   Published: 22 February 2007



14 articles found in Crossref database.

Sugarcane for water-limited environments: Enhanced capability of the APSIM sugarcane model for assessing traits for transpiration efficiency and root water supply
Inman-Bamber N.G., Jackson P.A., Stokes C.J., Verrall S., Lakshmanan P., Basnayake J.
Field Crops Research. 2016 196 p.112
Global Sensitivity Analysis of Key Parameters in the APSIMX-Sugarcane Model to Evaluate Nitrate Balance via Treed Gaussian Process
Rathnappriya R. H. K., Sakai Kazuhito, Okamoto Ken, Kimura Sho, Haraguchi Tomokazu, Nakandakari Tamotsu, Setouchi Hideki, Bandara W. B. M. A. C.
Agronomy. 2022 12(8). p.1979
Scope for predicting seasonal variation of the SPCZ with ACCESS-S1
Beischer Thomas A., Gregory Paul, Dayal Kavina, Brown Josephine R., Charles Andrew N., Wang William X. D., Brown Jaclyn N.
Climate Dynamics. 2021 56(5-6). p.1519
Dynamic Bayesian decision network to represent growers' adaptive pre-harvest burning decisions in a sugarcane supply chain
Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists (2018)
Price C. S., Moodley D., Pillay A. W.
Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging
Shendryk Yuri, Sofonia Jeremy, Garrard Robert, Rist Yannik, Skocaj Danielle, Thorburn Peter
International Journal of Applied Earth Observation and Geoinformation. 2020 92 p.102177
Systems Modeling (2020)
Dias Henrique Boriolo, Inman-Bamber Geoff
Water quality in agricultural lands draining to the Great Barrier Reef: A review of causes, management and priorities
Thorburn P.J., Wilkinson S.N., Silburn D.M.
Agriculture, Ecosystems & Environment. 2013 180 p.4
An improved way to determine nitrogen fertiliser requirements of sugarcane crops to meet global environmental challenges
Thorburn P. J., Biggs J. S., Webster A. J., Biggs I. M.
Plant and Soil. 2011 339(1-2). p.51
The nitrogen fertilizer conundrum: why is yield a poor determinant of crops’ nitrogen fertilizer requirements?
Thorburn Peter J., Biggs Jody S., Puntel Laila A., Sawyer John E., Everingham Yvette L., Archontoulis Sotirios V.
Agronomy for Sustainable Development. 2024 44(2).
Integrating satellite imagery and environmental data to predict field-level cane and sugar yields in Australia using machine learning
Shendryk Yuri, Davy Robert, Thorburn Peter
Field Crops Research. 2021 260 p.107984
From spreadsheets to sugar content modeling: A data mining approach
Oliveira Monique Pires Gravina de, Bocca Felipe Ferreira, Rodrigues Luiz Henrique Antunes
Computers and Electronics in Agriculture. 2017 132 p.14
A Combined Biophysical and EconomicGISFramework to Assess Sugarcane Cropping Potential inBrazil
Hissa LetĂ­cia de Barros Viana, Filho Britaldo Silveira Soares
Transactions in GIS. 2014 18(3). p.449
Ensemble data mining approaches to forecast regional sugarcane crop production
Everingham Y.L., Smyth C.W., Inman-Bamber N.G.
Agricultural and Forest Meteorology. 2009 149(3-4). p.689
Physiological model to estimate the maturity of sugarcane
Scarpari Maximiliano Salles, Beauclair Edgar Gomes Ferreira de
Scientia Agricola. 2009 66(5). p.622

Committee on Publication Ethics


Abstract Supplementary MaterialSupplementary Material (317 KB) Export Citation Get Permission