Yvette Everingham

Accurate prediction of sugarcane yield using a random forest algorithm

Yvette Everingham, Justin Sexton, Danielle Skocaj et al. · Agronomy for Sustainable Development · 2016 · 335 citations · Full text

Precision Agriculture, Sugarcane Yield, Engineering +7

Enhanced risk management and decision-making capability across the sugarcane industry value chain based on seasonal climate forecasts

Yvette Everingham, R.C. Muchow, Roger Stone et al. · Agricultural Systems · 2002 · 141 citations

Decision-making Capability, Risk Analytics, Engineering +8

A performance comparison of modern statistical techniques for molecular descriptor selection and retention prediction in chromatographic QSRR studies

Tim Hancock, R. Put, D. Coomans et al. · Chemometrics and Intelligent Laboratory Systems · 2005 · 139 citations

Molecular Descriptor Selection, Engineering, Gas Chromatography +13

A theoretical and real world evaluation of two Bayesian techniques for the calibration of variety parameters in a sugarcane crop model

Justin Sexton, Yvette Everingham, N. G. Inman‐Bamber · Environmental Modelling & Software · 2016 · 61 citations

Precision Agriculture, Engineering, Bayesian Techniques +13

Agricultural decision support systems facilitating co-learning: a case study on environmental impacts of sugarcane production

Peter J. Thorburn, Emma Jakku, A. J. F. Webster et al. · International Journal of Agricultural Sustainability · 2011 · 58 citations

Precision Agriculture, Engineering, Environmental Impacts +19