Related references
Note: Only part of the references are listed.Integrating satellite imagery and environmental data to predict field-level cane and sugar yields in Australia using machine learning
Yuri Shendryk et al.
FIELD CROPS RESEARCH (2021)
Integrating Landsat-8 and Sentinel-2 Time Series Data for Yield Prediction of Sugarcane Crops at the Block Level
Muhammad Moshiur Rahman et al.
REMOTE SENSING (2020)
Mid-season empirical cotton yield forecasts at fine resolutions using large yield mapping datasets and diverse spatial covariates
Patrick Filippi et al.
AGRICULTURAL SYSTEMS (2020)
Regional scale application of the precision agriculture thought process to promote improved fertilizer management in the Australian sugar industry
R. G. V. Bramley et al.
PRECISION AGRICULTURE (2019)
The effects of climate extremes on global agricultural yields
Elisabeth Vogel et al.
ENVIRONMENTAL RESEARCH LETTERS (2019)
Comparing management zone maps to address infertility and sodicity in sugarcane fields
Maryem Arshad et al.
SOIL & TILLAGE RESEARCH (2019)
An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning
Patrick Filippi et al.
PRECISION AGRICULTURE (2019)
Google Earth Engine: Planetary-scale geospatial analysis for everyone
Noel Gorelick et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Accurate prediction of sugarcane yield using a random forest algorithm
Yvette Everingham et al.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT (2016)
When do I want to know and why? Different demands on sugarcane yield predictions
Felipe Ferreira Bocca et al.
AGRICULTURAL SYSTEMS (2015)
A geostatistical method to account for the number of aliquots in composite samples for normal and lognormal random variables
T. G. Orton et al.
EUROPEAN JOURNAL OF SOIL SCIENCE (2015)
Derivation of terrain covariates for digital soil mapping in Australia
John C. Gallant et al.
SOIL RESEARCH (2015)
Interactions between climate change and sugarcane management systems for improving water quality leaving farms in the Mackay Whitsunday region, Australia
J. S. Biggs et al.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2013)
Quantifying the benefits of a long-lead ENSO prediction model to enhance harvest management - A case study for the Herbert sugarcane growing region, Australia
Yvette L. Everingham et al.
INTERNATIONAL JOURNAL OF CLIMATOLOGY (2012)
The Radiometric Map of Australia
Brian Minty et al.
EXPLORATION GEOPHYSICS (2009)
Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
Y Zha et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2003)
Using spatial interpolation to construct a comprehensive archive of Australian climate data
SJ Jeffrey et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2001)