Implementation of evolutionary computing models for reference evapotranspiration modeling: Short review, assessment and possible future research directions

• Main Authors: Jing, Wang, Yaseen, Zaher Mundher, Shamsuddin, Shahid, Saggi, Mandeep Kaur, Tao, H., Kisi, Ozgur, Salih, Sinan Q., Al-Ansari, Nadhir, Chau, Kwok-Wing
• Format: Article
• Language: English
• Published: Taylor & Francis 2019
• Subjects: QA76 Computer software; QC Physics; TD Environmental technology. Sanitary engineering; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/27444/1/Implementation%20of%20evolutionary%20computing%20models%20for%20reference%20evapotranspiration.pdf; http://umpir.ump.edu.my/id/eprint/27444/; https://doi.org/10.1080/19942060.2019.1645045; https://doi.org/10.1080/19942060.2019.1645045

Evapotranspiration is one of the most important components of the hydrological cycle as it accounts for more than two-thirds of the global precipitation losses. Indeed, the accurate prediction of reference evapotranspiration (ETo) is highly significant for many watershed activities, including agricu...