Temporal convolution-network-based models for modeling maize evapotranspiration under mulched drip irrigation

Accurate prediction of crop actual evapotranspiration (ETc) has great significance in designing irrigation plans and improving the water-resource use efficiency. However, existing experiment methods are either expensive or labor-costly, and the crop-coefficient (Kc) approach always results in high errors in calculating ETc, especially for nonstandard conditions like drip irrigation under plastic-film mulch. In this study, a Temporal Convolution...