Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties

•Predictive features in soil fertility for coffee yield prediction were extracted.•Three robust data-intelligent methods (ELM, RF and MLR) were developed.•ELM-models achieved the greatest accuracy in predicting Robusta coffee yield.•RRMSE of ELM-models ranging from 12.8% to 20.9%.•Coupling AI with c...

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Veröffentlicht in:Computers and electronics in agriculture 2018-12, Vol.155, p.324-338
Hauptverfasser: Kouadio, Louis, Deo, Ravinesh C., Byrareddy, Vivekananda, Adamowski, Jan F., Mushtaq, Shahbaz, Phuong Nguyen, Van
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Sprache:eng
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