# Statistical and deep learning models for reference evapotranspiration time series forecasting: A comparison of accuracy, complexity, and data efficiency

> Research article (Computers and Electronics in Agriculture, 2023) · cited 35× · AI/ML

**Wikidata**: [openalex:W4388794522](https://www.wikidata.org/wiki/openalex:W4388794522)  
**Source**: https://4ort.xyz/entity/statistical-and-deep-learning-models-for-reference-evapotranspiration-time-series-forecasting-a-comparison-of-accuracy-c
