A Soft Sensor to Estimate the Opening of Greenhouse Vents Based on an LSTM-RNN Neural Network.

Autor: Guesbaya M; LI3CUB Laboratory, Department of Electrical Engineering, University of Biskra, BP 145 RP, Biskra 07000, Algeria., García-Mañas F; Department of Informatics, University of Almería, CIESOL, ceiA3, E04120 Almería, Spain., Rodríguez F; Department of Informatics, University of Almería, CIESOL, ceiA3, E04120 Almería, Spain., Megherbi H; LARHYSS Laboratory, University of Biskra, BP 145 RP, Biskra 07000, Algeria.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 21; Vol. 23 (3). Date of Electronic Publication: 2023 Jan 21.

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Model-based predictive greenhouse parameter control of aquaponic system.

Autor: Debroy P; Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam, India., Majumder P; Department of Basic Science and Humanities (Mathematics), Techno College of Engineering Agartala, Agartala, Tripura, India., Das A; Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India. das.amrit12@gmail.com., Seban L; Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam, India.

Publikováno v: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Jul; Vol. 31 (35), pp. 48423-48449. Date of Electronic Publication: 2024 Jul 20.

Intelligent monitoring and control of IoT technology in greenhouse farming.

Autor: Chen, Rumin, Zhao, Xiaojing, Zhao, Mi'ao, Zhang, Hongbo

Publikováno v: Proceedings of SPIE; 2/21/2024, Vol. 12814, p128141I-128141I-7, 1p