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This study endeavors to conceptualize and execute a sophisticated agricultural greenhouse control system grounded in the amalgamation of the Internet of Things (IoT) and machine learning.
L. Jeffry, M. Y. Ong, S. Nomanbhay, M. Mofijur, M. Mubashir, and P. L. Show, “Greenhouse gases utilization: A review,” Fuel
2021
Earlier work this paper cites.
W. Fang, Y. Chen, and Q. Xue, “Survey on research of rnn-based spatio-temporal sequence prediction algorithms,” Journal on Big Data
2021
Earlier work this paper cites.
L. Gong, M. Yu, S. Jiang, V. Cutsuridis, and S. Pearson, “Deep learning based prediction on greenhouse crop yield combined tcn and rnn,” Sensors
2021
Earlier work this paper cites.
M. M. Domb Alon and G. Leshem, “Satellite to ground station, attenuation prediction for 2.4–72 ghz using ltsm, an artificial recurrent neural network technology,” Electronics
2022
Earlier work this paper cites.
C. Maraveas, “Incorporating artificial intelligence technology in smart greenhouses: Current state of the art,” Applied Sciences
2022
Cited alongside, same era.
I. Ullah and Q. H. Mahmoud, “Design and development of rnn anomaly detection model for iot networks,” IEEE Access
2022
Cited alongside, same era.
Y. Liu, D. Li, S. Wan, F. Wang, W. Dou, X. Xu, S. Li, R. Ma, and L. Qi, “A long short-term memory-based model for greenhouse climate prediction,” International Journal of Intelligent Systems
2022
Cited alongside, same era.
H. Ritchie, P. Rosado, and M. Roser, “Co 2 and greenhouse gas emissions,” Our world in data
2023
Cited alongside, same era.
J. Chen, Y. Zhang, J. Wu, W. Cheng, and Q. Zhu, “Soc estimation for lithium-ion battery using the lstm-rnn with extended input and constrained output,” Energy
2023
Later among the works it cites.
M. Abumohsen, A. Y. Owda, and M. Owda, “Electrical load forecasting using lstm, gru, and rnn algorithms,” Energies
2023
Later among the works it cites.
S. Hoseinzadeh and D. A. Garcia, “Ai-driven innovations in greenhouse agriculture: Reanalysis of sustainability and energy efficiency impacts,” Energy Conversion and Management: X
2024
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2024
Closest in time.
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