A Physics-Based Modelling and Control of Greenhouse System Air Temperature Aided by IoT Technology
Loading...
Date published
Free to read from
Authors
Ayoola Faniyi, Beatrice
Luo, Jerry
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Department
Course name
Type
ISSN
Format
Citation
Faniyi, Beatrice Ayoola; Luo, Jerry (2023). A Physics-Based Modelling and Control of Greenhouse System Air Temperature Aided by IoT Technology. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.22265872
Abstract
25th May, 2022 data set. The data contain the Solar irradiance, windspeed and outdoor temperature
Description
Software Description
Software Language
Github
Keywords
'greenhouse environment', 'energy model', 'greenhouse climate', 'energy minimisation', 'control algorithm', 'IoT control-based greenhouse'
DOI
10.17862/cranfield.rd.22265872
Rights
CC BY 4.0
Funder/s
This research received no external funding