Developing an Hourly Water Level Prediction Model for Small- and Medium-Sized Agricultural Reservoirs Using AutoML: Case Study of Baekhak Reservoir, South Korea

Developing an Hourly Water Level Prediction Model for Small- and Medium-Sized Agricultural Reservoirs Using AutoML: Case Study of Baekhak Reservoir, South Korea

This study focuses on developing an hourly water level prediction model for small- and medium-sized agricultural reservoirs using the Tree-based Pipeline Optimization Tool (TPOT), an automated machine learning (AutoML) technique. The study area is the Baekhak Reservoir in South Korea, and various pr...

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Bibliographic Details
Main Authors: Jeongho Han, Joo Hyun Bae
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
automated machine learning
TPOT
reservoir water level prediction
agricultural reservoir
Online Access:https://www.mdpi.com/2077-0472/15/1/71
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