# Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si169.svg" display="inline" id="d1e2315"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> </mml:math> ) predictions of Taif, Saudi Arabia

> Research article (Computers and Electronics in Agriculture, 2024) · cited 26× · AI/ML

**Wikidata**: [openalex:W4398162850](https://www.wikidata.org/wiki/openalex:W4398162850)  
**Source**: https://4ort.xyz/entity/principal-component-analysis-pca-and-feature-importance-based-dimension-reduction-for-reference-evapotranspiration-et-mm