Comment by umairnadeem123

the docker-based reproducibility angle is really smart for academic agri-robotics. the biggest complaint i hear from researchers trying to replicate field robot experiments is that the software environment is always subtly different - different ROS versions, different CUDA, different model weights. if you can hand someone a docker compose and a BOM and they get identical behavior, that alone justifies the project.

for the vision pipeline, have you considered running inference on the ESP32-S3 directly for simple green-on-brown detection? YOLO is overkill for basic weed/crop discrimination and the latency of shipping frames over ethernet to the A55 adds up when you want real-time control of the weeding actuator. tflite micro on the ESP32 can do simple binary classification at 30+ fps.