Intelligent cloud-based RAS management: integration of DDPG reinforcement learning with AWS IoT for optimized aquaculture production

Abstract While Deep Deterministic Policy Gradient (DDPG) reinforcement learning has demonstrated significant potential for optimizing aquaculture operations in laboratory and controlled environments, its practical deployment in commercial-scale Recirculating Aquaculture Systems (RAS) faces critical...

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Autors principals:	Wael M. Elmessery, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Mohamed Hamdy Eid, András Székács, Omar Saeed, Atef Fathy Ahmed, M. Alhumedi, Abdallah Elshawadfy Elwakeel
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-02-01
Col·lecció:	Scientific Reports
Matèries:	Deep deterministic policy gradient Cloud-Edge computing Aquaculture automation Scalable AI deployment AWS IoT Edge optimization
Accés en línia:	https://doi.org/10.1038/s41598-025-33736-7
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