Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

Agricultural and Forest Meteorology(2019)

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摘要
•Machine learning algorithms have been applied to estimate wheat yield for Australia.•Combining climate and satellite data achieves high performance for yield prediction.•The unique and overlapping information of climate and satellite data is quantified.•Optimal prediction performance can be achieved two-month lead time before maturity.
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关键词
Wheat,Crop yield prediction,Enhanced vegetation index,Solar-induced fluorescence,Machine learning
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