IoT(Internet of things) methods to vertical plant wall systems
In this project we explored the possibility of applying IoT(Internet of things) methods to vertical plant wall systems, there is a sensing unit that aids in the automated watering of the plant, and collects data environment data like Indoor temperature and humidity, outdoor temperature, and humidity, CO2, VOC. In this paper, we explored the feasibility of integrating machine learning approaches to vertical plant wall systems in order to increase automation and intelligence in order to achieve predictive indoor air quality.
Work Flow
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Machine Learning Training Results
Accuracy while training the model we achieved about 83-84, we are in the process of improving the model with the addition of more data to the Machine learning model
