Summer 2021: Automating the process of monitoring nutrients in aquaponics

Affiliations:

Project Leader:

Sambandh Bhusan Dhal
sambandh@tamu.edu
Electrical & Computer Engineering

Faculty Mentor:

Dr. Stavros Kalafatis Ph.D.

Meeting Times:

MWF 1 PM to 2 PM

Team Size:

Open Spots:

Special Opportunities:

Can be extended as an URS project for ECEN 403/404

Team Needs:

* Some basic knowledge of Embedded coding (Required for microcontrollers, sensor and actuation set up)
* Need to maintain a database (AWS/ Azure/ Firebase)
* Android app design (Optional)

Description:

* The sensor modules each with a pH sensor, temperature and humidity sensors have been constructed for each greenhouse (The main work would be testing and verification of the sensors as some need to be calibrated and replaced if necessary)
* There are a total of three greenhouses so data needs to be sent at regular intervals which would be stored in a single database where the Machine Learning model would be hosted which would take the sensor values as inputs and would output a recommendation system on how to regulate the other nutrient concentrations based on these values
( The ML model and the database already exists but work needs to be done in order to further improve the visualizations)
* Based on the recommendation values from the ML model, actuators can be connected to the system which would regulate the nutrient concentrations in the aquaponic solution and the weather parameters of the greenhouse on a daily basis (To be constructed)