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All issues Volume 216 (2025) SHS Web Conf., 216 (2025) 01028 References
Open Access
Issue
SHS Web Conf.
Volume 216, 2025
International Conference on the Impact of Artificial Intelligence on Traditional Economic Sectors (ICIAITES 2025)
Article Number 01028
Number of page(s) 12
Section Intelligent Systems and Digital Transformation in Agricultural Economy and Sustainable Development
DOI https://doi.org/10.1051/shsconf/202521601028
Published online 23 May 2025
  1. C. Vatistas, D.D. Avgoustaki, T. Bartzanas, A systematic literature review on controlledenvironment agriculture: How vertical farms and greenhouses can influence the sustainability and footprint of urban microclimate with local food production. Atmosphere 13(8), 1258 (2022). https://doi.org/10.3390/atmos13081258 [CrossRef] [Google Scholar]
  2. F. Manheij, A comparison of two types of light control systems: Open-and closed light control system and their different behaviors (2022) [Google Scholar]
  3. D.C.J. Neo, M.M.X. Ong, Y.Y. Lee, E.J. Teo, Q. Ong, H. Tanoto, V. Suresh, Shaping and tuning lighting conditions in controlled environment agriculture: A review. ACS Agricultural Science & Technology 2(1), 3–16 (2022). https://doi.org/10.1021/acsagscitech.1c00241 [CrossRef] [Google Scholar]
  4. Q. Wang, J. Dong, Reinforcement learning control of multi-spectral LED systems for rendering optimal lighting performance in an indoor environment. Building and Environment 262, 111811 (2024). https://doi.org/10.1016/j.buildenv.2024.111811 [CrossRef] [Google Scholar]
  5. J.L. Araus, S.C. Kefauver, O. Vergara‐Díaz, A. Gracia‐Romero, F.Z. Rezzouk, J. Segarra, s, Crop phenotyping in a context of global change: What to measure and how to do it. Journal of Integrative Plant Biology 64(2), 592–618 (2022). https://doi.org/10.1111/jipb.13191 [CrossRef] [Google Scholar]
  6. C.Y. Chen, S.H. Wu, B.W. Huang, C.H. Huang, C.F. Yang, Web-Based Internet of Things on Environmental and Lighting Control and Monitoring System Using Node-RED, MQTT, and Modbus Communications within Embedded Linux Platform. Internet of Things 101305 (2024). https://doi.org/10.1016/j.iot.2024.101305 [Google Scholar]
  7. S. Kouah, A. Saighi, M. Ammi, A. Naït Si Mohand, M.I. Kouah, D. Megías, Internet of Things-Based Multi-Agent System for the Control of Smart Street Lighting. Electronics 13(18), 3673 (2024). https://doi.org/10.3390/electronics13183673 [CrossRef] [Google Scholar]
  8. A.G. Putrada, M. Abdurohman, D. Perdana, H.H. Nuha, Machine learning methods in smart lighting toward achieving user comfort: a survey. IEEE access 10, 45137–45178 (2022). https://doi.org/10.1109/ACCESS.2022.3172213 [CrossRef] [Google Scholar]
  9. M. Ghiasi, Z. Wang, M. Mehrandezh, R. Paranjape, A Systematic Review of Optimal and Practical Methods in Design, Construction, Control, Energy Management, and Operation of Smart Greenhouses. IEEE Access (2023). https://doi.org/10.1109/ACCESS.2023.3340883 [Google Scholar]
  10. R. Paradiso, S. Proietti, Light-quality manipulation to control plant growth and photomorphogenesis in greenhouse horticulture: The state of the art and the opportunities of modern LED systems. Journal of Plant Growth Regulation 41(2), 742–780 (2022). https://doi.org/10.1007/s00344-021-10337-y [CrossRef] [Google Scholar]
  11. G.C. Modarelli, R. Paradiso, C. Arena, S. De Pascale, M.C. Van Labeke, High light intensity from blue-red LEDs enhances photosynthetic performance, plant growth, and optical properties of red lettuce in a controlled environment. Horticulturae 8(2), 114 (2022). https://doi.org/10.3390/horticulturae8020114 [CrossRef] [Google Scholar]
  12. S. Sena, S. Kumari, V. Kumar, A. Husen, Light-Emitting Diode (LED) lights for the improvement of plant performance and production: a comprehensive review. Current Research in Biotechnology 100184 (2024). https://doi.org/10.1016/j.crbiot.2024.100184 [Google Scholar]
  13. M. Kent, N.K. Huynh, S. Schiavon, S. Selkowitz, Using support vector machine to detect desk illuminance sensor blockage for closed-loop daylight harvesting. Energy and Buildings 274, 112443 (2022). https://doi.org/10.1016/j.enbuild.2022.112443 [CrossRef] [Google Scholar]
  14. I. Cappelli, A. Fort, A. Pozzebon, M. Tani, N. Trivellin, V. Vignoli, M. Bruzzi, Autonomous iot monitoring matching spectral artificial light manipulation for horticulture. Sensors 22(11), 4046 (2022). https://doi.org/10.3390/s22114046 [CrossRef] [Google Scholar]
  15. N. Amalia, D. Hindarto, Enterprise Architecture for Efficient Integration of IoT Lighting System in Smart City Framework. Sinkron: jurnal dan penelitian teknik informatika 8(2), 1091–1099 (2024) [Google Scholar]
  16. J. Schöning, H.J. Pfisterer, Safe and trustful AI for closed-loop control systems. Electronics 12(16), 3489 (2023). https://doi.org/10.3390/electronics12163489 [CrossRef] [Google Scholar]
  17. E.K. Ruby, G. Amirthayogam, G. Sasi, T. Chitra, A. Choubey, S. Gopalakrishnan, Advanced Image Processing Techniques for Automated Detection of Healthy and Infected Leaves in Agricultural Systems. Mesopotamian Journal of Computer Science 2024, 62–70 (2024) [Google Scholar]

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