Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with gamma test

• Main Authors: Malik, Anurag, Tikhamarine, Yazid, Al-Ansari, Nadhir, Shahid, Shamsuddin, Sekhon, Harkanwaljot Singh, Pal, Raj Kumar, Rai, Priya, Pandey, Kusum, Singh, Padam, Ahmed Elbeltagi, Ahmed Elbeltagi, Sammen, Saad Shauket
• Format: Article
• Language: English
• Published: Taylor and Francis Ltd. 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/97696/1/ShamsuddinShahid2021_DailyPanEvaporationEstimationInDifferentAgroClimatic.pdf; http://eprints.utm.my/id/eprint/97696/; http://dx.doi.org/10.1080/19942060.2021.1942990

Ensuring accurate estimation of evaporation is weighty for effective planning and judicious management of available water resources for agricultural practices. Thus, this work enhances the potential of support vector regression (SVR) optimized with a novel nature-inspired algorithm, namely, Slap Swa...