Demo Abstract: Underground Potato Root Tuber Sensing via a Wireless Network

We propose to demonstrate a novel underground potato root tuber sensing framework using deep learning algorithms. We build a data acquisition system for capturing the ground truth of the tuber shape and location underground as well as the received signal strength (RSS) measurements from a wireless network. Then we design a two-stage neural network to reconstruct the cross-section images of potato tubers. Our initial experimental results show that the reconstructed images can be used to predict the size and location of various potato tubers buried underground with high accuracy. We will demonstrate the real-time performance of our prototype.