An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning

Farmer attitudes to the use of sensors and automation in fertilizer decision-making: nitrogen fertilization in the Australian grains sector

(2018) R. G. V. Bramley et al.   PRECISION AGRICULTURE

Towards a national, remote-sensing-based model for predicting field-scale crop yield

(2018) Randall J. Donohue et al.   FIELD CROPS RESEARCH

Effects of optical sensing based variable rate nitrogen management on yields, nitrogen use and profitability for cotton

(2018) M. Stefanini et al.   PRECISION AGRICULTURE

The Australian Geoscience Data Cube — Foundations and lessons learned

(2017) Adam Lewis et al.   REMOTE SENSING OF ENVIRONMENT

Validation of digital soil maps at different spatial supports

(2015) T.F.A. Bishop et al.   GEODERMA

Testing the Temporal Ability of Landsat Imagery and Precision Agriculture Technology to Provide High Resolution Historical Estimates of Wheat Yield at the Farm Scale

(2013) Greg Lyle et al.   Remote Sensing

Use of soil moisture data for refined GreenSeeker sensor based nitrogen recommendations in winter wheat (Triticum aestivum L.)

(2012) Olga S. Walsh et al.   PRECISION AGRICULTURE

GMES Sentinel-1 mission

(2012) Ramon Torres et al.   REMOTE SENSING OF ENVIRONMENT

Yield and Price Forecasting for Stochastic Crop Decision Planning

(2010) Nantachai Kantanantha et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

Empirical regression models using NDVI, rainfall and temperature data for the early prediction of wheat grain yields in Morocco

(2007) Riad Balaghi et al.   International Journal of Applied Earth Observation and Geoinformation