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Two different input combinations were selected to train the GRNN and ELM models. One considered meteorological and crop data as input, the same input data as the modified dual Kc approach, and the other combination considered meteorological data as input to evaluate the capabilities of the ELM and GRNN when only meteorological data are available. Table 1 presents a summary of the input combinations for each model. ELM1 and GRNN1 were fed with meteorological (maximum, minimum, and mean air temperature, maximum, minimum, and mean relative humidity, solar radiation, and wind speed at 2 m height) and crop data (leaf area index and plant height). ELM2 and GRNN2 were fed only with meteorological data since the crop data are not commonly available.

Table 1

Summary of input combinations for each AI model

 Meteorological data
Crop data
ModelTRHRsu2LAIhc
ELM1 √ √ √ √ √ √ 
GRNN1 √ √ √ √ √ √ 
ELM2 √ √ √ √   
GRNN2 √ √ √ √   
 Meteorological data
Crop data
ModelTRHRsu2LAIhc
ELM1 √ √ √ √ √ √ 
GRNN1 √ √ √ √ √ √ 
ELM2 √ √ √ √   
GRNN2 √ √ √ √   

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