Hybrid-conditional generative adversarial network framework for climate fault detection in vertical farming environments
Fault diagnosis in vertical farming systems (VFS) is constrained by the lack of labeled fault data, especially under rare or complex airflow disturbance conditions. This limits the training and evaluation of machine learning (ML) models for real-time microclimate monitoring and control. This study a...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier
2026
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/123341/1/123341.pdf http://psasir.upm.edu.my/id/eprint/123341/ https://www.sciencedirect.com/science/article/pii/S1568494626001754 |
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