Field-based implementation of machine learning forecasting for energy-efficient temperature control in a greenhouse system

In this study, we developed a simulation model for the internal environment of greenhouses using artificial intelligence techniques. This study focuses on the practical application of machine learning (ML)-based forecasting for greenhouse temperature control and its potential to improve energy effi...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Sunyong Park, DaeHyun Kim, Kwang Cheol Oh
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	PAGEPress Publications 2026-06-01
Schriftenreihe:	Journal of Agricultural Engineering
Schlagworte:	Smart greenhouse forecasting machine learning data-driven predictive control energy efficiency
Online-Zugang:	https://www.agroengineering.org/jae/article/view/2199
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