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 |
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Sprache: | eng |
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