Install Ubuntu Desktop 22.04 onto the computer you intend to use for GrowBot.Follow pin diagram in the wiring diagram.Obtain Electronic components shown in the wiring diagram.After being wired according to the diagram, GrowBot should be able to drive!.Add actuator gears to motor and axle rods. Slide axle rods through skateboard bearings.Add wheels to mounts, add actuator gears.Use M6 screws and nuts to secure printed wheel hub to the remaining original hub.Make sure to do this before putting wheel hubs together.Insert axle rods into printed wheel hubs (May need some persuasion(A hammer)).Remove the screws holding the harbor freight wheels together.Slide wheel mounts on to T Slot rails and lock in place using T Slot locking hardware.Attach bearings to both sides of the wheel mounts.Attach bearings to wheel mounts and mount motors.4 x Wheel mounts (wheelMount_2.3.FCStd).Parts can be downloaded from the GitHub repository.Print wheel mounts, wheel hubs and actuator gears.Put rails together as shown using 90-degree T slot connectors.Here are the general steps to replicate the work that we completed this semester. Once that is done, you can begin developing your contributions to GrowBot. Once you have that, you can read the README file and see the instructions on running the setup script. In order to prepare our standardized ROS image, you simply have to install Ubuntu 22.04 on a computer and clone our project repository. We have the process for the robot’s current status greatly simplified.The team drive has been organized and our git and OSF repositories are up to date. The models both have limited sets of data and were/will be trained for only a few hours meaning there is much room for improvement even though the tomato model proved to be relatively accurate. While the bell pepper classification model isn’t completed yet, the bulk of the work has been finished and the only remaining step is training the model. Currently, a tomato classification model has been successfully trained. Since this is a pretty large goal, we set a smaller goal of creating an image classification model with the ability to identify tomatoes and bell peppers. Along with identification, GrowBot should be able to report on the health and stage of growth of the plant based on its appearance.
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