Topping the list of Australia’s major crops, wheat is grown on more than half the country’s cropland and is a key export commodity. With so much riding on wheat, accurate yield forecasting is necessary to predict regional and global food security and commodity markets. A new study published in Agricultural and Forest Meteorology shows machine-learning methods can accurately predict wheat yield for the country two months before the crop matures.
Click here for original story, New research accurately predicts Australian wheat yield months before harvest
Source: Phys.org