Open Access
Issue
BIO Web Conf.
Volume 142, 2024
2024 International Symposium on Agricultural Engineering and Biology (ISAEB 2024)
Article Number 01019
Number of page(s) 6
Section Agricultural Economic Engineering and Market Management
DOI https://doi.org/10.1051/bioconf/202414201019
Published online 21 November 2024
  • Smith, A., et al. (2020). Greenhouse Agriculture: A Sustainable Solution for Food Security and Climate Change Adaptation. Journal of Sustainable Agriculture. [Google Scholar]
  • Zhang, L., & Wang, S. (2019). Advancements in Greenhouse Technology for Enhanced Crop Productivity and Quality. Agricultural Engineering International. [Google Scholar]
  • Wang, J., & Chen, Z. (2022). Mitigating the Impacts of Global Warming and Extreme Weather Events on Agriculture through Greenhouse Cultivation. Climate Change. [Google Scholar]
  • Li, M., et al. (2021). Resource Conservation and Environmental Protection in Greenhouse Farming. Environmental Science and Pollution Research. [Google Scholar]
  • Singh, M. C., Singh, J. P., Pandey, S. K., et al. (2017). Factors affecting the performance of greenhouse cucumber cultivation-a review. International Journal of Current Microbiology and Applied Sciences, 6(10), 2304-2323. [CrossRef] [Google Scholar]
  • Chen, H., & Liu, X. (2018). Optimal Design and Ventilation Strategies for Greenhouse Microclimate Control. Biosystems Engineering. [Google Scholar]
  • Fatnassi, H., Boulard, T., Poncet, C., et al. (2006). Optimisation of greenhouse insect screening with computational fluid dynamics. Biosystems Engineering, 93(3), 301-312. [CrossRef] [Google Scholar]
  • Norton, T., Sun, D. W., Grant, J., et al. (2007). Applications of computational fluid dynamics (CFD) in the modelling and design of ventilation systems in the agricultural industry: A review. Bioresource technology, 98(12), 2386-2414. [CrossRef] [PubMed] [Google Scholar]
  • Smith, J., & Jones, M. (2020). Simulation of greenhouse climate using computational fluid dynamics. Biosystems Engineering, 192, 145-160. [Google Scholar]
  • Liu, Y., Li, D., Wan, S., et al. (2022). A long short‐ term memory‐based model for greenhouse climate prediction. International Journal of Intelligent Systems, 37(1), 135-151. [CrossRef] [Google Scholar]

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