Abstract
In this paper, we propose a real-time, non- destructive, and low-cost wheat mildew detection system using commodity WiFi devices, which is a new application of the Internet of Things (IoT) to agriculture applications. We first introduce wheat mildew and validate the feasibility of wheat mildew detection using WiFi Channel State Information (CSI) amplitude data. We then present the MiFi system design, including CSI sensing, preprocessing, radial basis function (RBF) neural network based detection modeling, and mildew detection. Our experimental results validate the effectiveness of the proposed MiFi system. The average detection accuracy of the MiFi system is over 90\% under both line-of-sight (LOS) and non- line-of-sign (NLOS) scenarios.
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