This week Zara and I worked together to waterproof the wood of the greenhouse by spraying a waterproof sealant. I finished setting up the LEDs and the controls/communication between the RPi and WebApp (with Zara and Yuna), including managing turning the white LEDs on for capturing images for further processing. I also ensured smooth integration of the camera usage with the WebApp, as we previously had issues with conflicting usage of the camera (for example capturing an image for ML model while live streaming). I set up the data collection code, so we are now collecting sensor and image data from the greenhouse 24/7 (4 data points per hour), which I will use for training and testing the late fusion network of the plant health classification ML model. I started working on the mister, however I ran into some issues. Following the meeting on Monday, I haven’t had the chance to continue working on it due to assignments/exams for other classes.
I am currently slightly behind schedule as I have yet to get the mister working, however I plan to dedicate all of Sunday to working on it.
Next Week’s Deliverables:
- Set up the mister + control loop
- Set up the late fusion network
- Buy more plants
- Cover windows with black out film
- Begin testing subsystems for final report