Development of an IoT-enabled Controlled-environment Indoor Plant Growth Prototype

The proposed project will establish an echo-system consisting of various environmental sensors and actuators and how they can be integrated to build a prototype indoor garden for demonstration purposes. Through utilizing IoT-enabled sensory data from image and environmental sensors, one can obtain relevant information about plant growth in real-time or use the data for a posteriori analysis. The large number of generated data will be used to create mathematical signatures that can be used for a variety of applications such as detecting anomalies in the growth process. The prototype will be used to investigate challenging problems in controlled environment agriculture such as resource optimization (electricity, water, and nutrients) in the area of intelligent ho

Afagh Mohagheghi
Faculty Supervisor: 
Mehrdad Moallem
British Columbia