This is a nice article giving an example of how machine learning and engineering can be combined to improve farming:
“Here’s a systems diagram of the cucumber sorter that Makoto built. The system uses Raspberry Pi 3 as the main controller to take images of the cucumbers with a camera, and in a first phase, runs a small-scale neural network on TensorFlow to detect whether or not the image is of a cucumber. It then forwards the image to a larger TensorFlow neural network running on a Linux server to perform a more detailed classification.”
