HIGHLIGHTS
- who: Rana Muhammad Adnan Ikram et al. from the School of Economics and Statistics, Guangzhou University, Guangzhou, China have published the article: Advanced Hybrid Metaheuristic Machine Learning Models Application for Reference Crop Evapotranspiration Prediction, in the Journal: Agronomy 2023, 98 of 19/Dec/2022
- what: The aim of this work was to evaluate the predictive performance of three hybrid AI models in a study case in humid climate conditions. Namely, in this study, the authors evaluated the performance of the following models: support vector regression (SVR) which was integrated into particle swarm optimization (PSO); PSO . . .
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