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

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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Bibliographic Details
Main Authors: Manuel Platero-Horcajadas, Sofia Pardo-Pina, José-María Cámara-Zapata, José-Antonio Brenes-Carranza, Francisco-Javier Ferrández-Pastor
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
smart agriculture
reinforcement learning
IoT
greenhouse energy management
Online Access:https://www.mdpi.com/1424-8220/24/24/8109
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