This week, I completed several important components of the project. I finished integrating the heater into the system, ensuring that it is now stabilized and works securely with both manual and automatic control modes. Additionally, I completed building and programming the LED matrix, which displays the current status of all actuators in the greenhouse, as well as the health status of the plant based on machine learning classification (either “Healthy” or “Unhealthy”). I also finished writing the automatic control code for the greenhouse, allowing the system to adjust conditions based on ideal environmental parameters. After writing the control code, I tested the sensors (temperature, humidity, soil moisture, and light) and some actuators (heater, fan, humidifier, and lights) to verify that the automatic system responds correctly to real-time data.
Overall, I am on schedule with the project timeline. There are no major delays, and the heater, LED matrix, and control code were the last major technical tasks I needed to complete individually.
For the final week, I will focus on completing stabilization tests to record the time it takes for the system to reach ideal conditions automatically. I will also work with my team to finish the final poster, demonstration video, and project report. By the final deadline, the deliverables I expect to complete are the poster, demo video, report, and the stabilization time data for the system.