#9010. Cognitive computing models for estimation of reference evapotranspiration: A review

September 2026publication date
Proposal available till 29-05-2025
4 total number of authors per manuscript4500 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Experimental and Cognitive Psychology;
Software;
Cognitive Neuroscience;
Artificial Intelligence;
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Abstract:
Reference evapotranspiration (ET0) is a vital factor to predict the crop water requirements based on climate data. There are many techniques available for the prediction of ET0. The present study aimed to determine which are the most effective.
Keywords:
Artificial neural networks; Crop water requirements; Genetic programming; Irrigation system; Support vector machine

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