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MiFi: Device-Free Wheat Mildew Detection Using Off-the-Shelf WiFi Devices

机译:MiFi:使用现成的WiFi设备检测无设备的小麦霉病

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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.
机译:在本文中,我们提出了一种使用商品WiFi设备的实时,无损且低成本的小麦霉病检测系统,这是物联网(IoT)在农业应用中的新应用。我们首先介绍小麦霉菌,并使用WiFi信道状态信息(CSI)幅度数据验证小麦霉菌检测的可行性。然后,我们介绍MiFi系统设计,包括CSI感应,预处理,基于径向基函数(RBF)神经网络的检测模型和霉菌检测。我们的实验结果验证了拟议的MiFi系统的有效性。在视线(LOS)和非视线(NLOS)场景下,MiFi系统的平均检测精度均超过90%。

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