Application of artificial neural networks in canola crop yield prediction
Crop yield prediction has an important role in agricultural policies such as specification of
the crop price. Crop yield prediction researches have been based on regression analysis. In
this research canola yield was predicted using Artificial Neural Networks (ANN) using 11
crop year climate data (1998-2009) in Gonbad-e-Kavoos region of Golestan province. ANN
inputs were mean weekly rainfall, mean weekly temperature, mean weekly relative humidity
and mean weekly sun shine hours and ANN output was canola yield (kg/ha). Multi-Layer …
the crop price. Crop yield prediction researches have been based on regression analysis. In
this research canola yield was predicted using Artificial Neural Networks (ANN) using 11
crop year climate data (1998-2009) in Gonbad-e-Kavoos region of Golestan province. ANN
inputs were mean weekly rainfall, mean weekly temperature, mean weekly relative humidity
and mean weekly sun shine hours and ANN output was canola yield (kg/ha). Multi-Layer …
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