Enhancing Greenhouse Efficiency: Integrating IoT and Reinforcement Learning for Optimized Climate Control

Automated systems, regulated by algorithmic protocols and predefined set-points for feedback control, require the oversight and fine tuning of skilled technicians. This necessity is particularly pronounced in automated greenhouses, where optimal environmental conditions depend on the specialized kno...

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Principais autores:	Manuel Platero-Horcajadas, Sofia Pardo-Pina, José-María Cámara-Zapata, José-Antonio Brenes-Carranza, Francisco-Javier Ferrández-Pastor
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-12-01
coleção:	Sensors
Assuntos:	smart agriculture reinforcement learning IoT greenhouse energy management
Acesso em linha:	https://www.mdpi.com/1424-8220/24/24/8109
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