Ventilation rate prediction for naturally ventilated greenhouses using CFD-driven machine learning model
ISHS International Symposium on New Technologies for Sustainable Greenhouse Systems: GreenSys2023 Ventilation rate prediction for naturally ventilated greenhouses using CFD-driven machine learning model
Authors
- Jae Hoon Cho (ORCID: https://orcid.org/0000-0002-2243-7428)
- Suchul Kang (ORCID: https://orcid.org/0000-0002-8713-0144)
- I.B. Lee
- Young‐Wuk Cho (ORCID: https://orcid.org/0000-0003-4665-4061)
- D.I. Kim (ORCID: https://orcid.org/0009-0001-8156-3520)
- Yoojin Choi (ORCID: https://orcid.org/0000-0002-6223-7607)
- Hong Jeong
Publication Details
- Journal
- Acta Horticulturae
- Published
- 2025-04-01
- DOI
- https://doi.org/10.17660/actahortic.2025.1426.59
- Primary Topic
- Greenhouse Technology and Climate Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00