Subteams
Dr. Zhang & Dr. Shelia
University of Florida
About the Research
Dr. Zhang is developing computational fluid dynamics models to assess greenhouse shading control strategies that aim to enhance cooling efficiency. Her research also applies artificial intelligence (AI) for climate prediction and control, optimizing climate management and energy efficiency in greenhouses.
Dr. Shelia is creating dynamic crop models for lettuce and tomatoes, combining conventional mathematical methods and machine learning to improve yield predictions in greenhouse environments.
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Significant Accomplishments
- Designed a localized air distribution solution to improve air movement and climate uniformity in indoor farms.
- Revealed the energy consumption differences between greenhouse and indoor farming systems.
- Suggested energy-saving strategies for indoor farming operations include selecting a colder geographical location, utilizing efficient LED lights, employing HVAC economizers, and choosing cultivars that are well-suited for indoor cultivation.
Significant Works
- Publication Title 1 – short description here.
- Publication Title 2 – short description here.
- Project Website / Dataset