This week, I focused on ordering all the necessary parts for our project and ensuring that the components we selected are fully compatible with our Raspberry Pi 5. I spent time carefully planning how the sensors and actuators will connect to the Raspberry Pi on the pinout, including how they will be powered and controlled. Additionally, I researched various water pump systems to determine the best way to integrate one into our design.
With the upcoming design presentation, I also worked closely with my team to refine our slides. I finalized the block diagram to visually present how the system components will connect and interact. To address previous confusion about the role of our machine learning model, I created a detailed flow diagram to clearly outline its function and integration within our system. My goal was to ensure that our audience would fully understand how our data inputs contribute to plant health classification.
Currently, we are on schedule, and our progress aligns with our planned timeline. However, I am slightly concerned that some of our ordered components may take longer than expected to arrive, which could delay the integration of certain parts. Fortunately, none of these delays seem significant enough to disrupt our overall schedule. Another potential issue is the soil nutrient and pH sensor we selected, as it has limited reviews and its reliability is uncertain. Due to budget constraints, we opted for a more affordable sensor, but if testing reveals any issues, we will order an alternative model as soon as possible.
By next week, I hope to have the temperature and humidity sensor set up and fully integrated with the RPi 5 to establish a working model for collecting environmental data. Additionally, I plan to begin testing other hardware components as they arrive to ensure a smooth transition into the next phase of our project.