@Aryana

I completed the prototype by combining the enclosure with the prototype. I encased the sensors and the LCD. The prototype is finally complete!

I combined the parts in the bottom half of the prototype, and fit it in the encolsure.

I researched the different types of prevalent trees in California and their temperatures during different seasons. I plan to add this to my database, as I hadn’t previously done this. I used many websites, but Our City Forest was the most helpful.

I fixed the issues that the prototype was facing. I also added a button. The main thing I did was make the prototype able to function without the computer nearby, which can make it so that anyone in the world can use it with a battery pack.

I 3D printed the top half of the housing for the prototype. Next, I will print the bottom half.

I build a CAD of the structure that will house the prototype. I left holes for all the different parts, and will print it later today.

I connected the database to the Raspberry Pi, and tested it out using a house plant. It worked really well, and the next step is to test it outside with a real tree.

I researched about how to use the specific PlantNet API database with the Raspberry Pi and hook that database to a Machine Learning algorthim. I am finally ready to actually make the Machine Learning algorithm and get my hands dirty now that I have the information I need to continue on with the project.

I researched more about the tree datasets, and I found one that has plenty of accurate information: PlantNet API.

I researched the different datasets I can use for the project, as well as the amount of tree data each have in them. I still need to do some more research, but as of now, creating a dataset is the best option if I want to get a wide, accurate range of data. I haven’t found any datasets that match the amount of data I can collect by myself in my neighborhood.

I tested the camera and battery pack that came. They both worked really well. Now, I can start inputting the ML algrothm.

I fiinshed the Machine Learning book.

I read Chapters 14 and 15 of the Machine Learning book.

The parts will come tomorrow.

I read Chapter 13 of the Machine Learning book.

I planned the way I am going to connect the ArduCam to the Raspberry Pi with the thermal sensor. I realized I might have to solder some wires together so that more than one wire can fit on one pin on the Pi.

I planned the way the wires are going to connect to the Pi and how I am going to integrate ML into the Pi using the camera and thermal sensor.

I researched more about using the ArduCam with the Raspberry Pi 5. I found troubleshooting techniques and what I need to do after I get the camera (the setup).

I read Chapters 11 and 12 of the Machine Learning book.

I watched a video about using the ArduCam with the Raspberry Pi 5.

I read Chapters 9 and 10 of the Machine Learning book.