When it comes to farming veggies like cucumbers, the sorting process can often be just as hard and tricky as actually growing them. That’s why Makoto Koike is using Google’s TensorFlow machine learning technology to categorize the cucumbers on his family’s farm by size, shape and color, enabling them to focus on more important and less tedious work.
A camera-equipped Raspberry Pi 3 is used to take images of the cucumbers and send them to a small-scale TensorFlow neural network. The pictures are then forwarded to a larger network running on a Linux server to perform a more detailed classification. From there, the commands are fed to an Arduino Micro that controls a conveyor belt system that handles the actual sorting, dropping them into their respective container.
You can read all about the Google AI project here, as well as see it in action below!