학술논문

Statistical and deep learning models for reference evapotranspiration time series forecasting: A comparison of accuracy, complexity, and data efficiency
Document Type
Article
Source
In: Computers and Electronics in Agriculture. (Computers and Electronics in Agriculture, December 2023, 215)
Subject
Language
English
ISSN
01681699