All of our sensors and actuators have been integrated with web app. We are done with implementing the basic requirements of the project . The web app now has all the core functionalities – to automatically/manually control the plant conditions, detect the plant species and health, store sensor data, and live stream. We tested some of the subsystems – live streaming latency, late fusion network, plant identification API, and level of water absorbed per day.
Progress:
- Sensor data collection
- Put blackout film on windows
- Bought more plants
- Set up mister, heater, watering system
- Implement late fusion network for plant health ML model
- Test live streaming latency, late fusion network, plant identification API, level of water absorbed per day
- All the sensors/actuators fully integrated with web app
- Automatic and manual scheduling functionalities implemented
- Enable water/nutrients dispensed based on the number of plants in the greenhouse
Next Steps:
As we have a final presentation and a final demo left, we will have to implement everything, test everything that we planned before, and refine web app and the system to be presented in the final demo.
- Test PID controls
- Test overall system performance (leave the greenhouse barely touched/modified for several days for testing)
- Ensure durability (waterproofing/heating/misting)
- Improve web app UI
- Conduct web app user experience survey