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Network Performance Evaluation of a LoRa-based IoT System for Crop Protection Against Ungulates

机译:基于LoRa的IoT系统的网络性能评估

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Internet of Things (IoT) applications are deeply revolutionizing our lives, due to the continuous, outstanding development of innovative platforms including, for instance, accurate sensors, cloud solutions, and involving relevant advancements in standards and protocols. One of the recent trends of IoT applications is smart agriculture, which is evolving to solve several relevant problems from producers. In this paper, we present an IoT solution for precision agriculture aimed at repelling ungulates and preventing damages to crop fields. Moreover, this paper provides an in-depth technical description of a complete architecture we designed and deployed for this application, that consists of the low-power wide-area network (LPWAN) and the backend system. The deployment also explores the performance of LoRa network in terms of its reliability in a rural area under different scenarios, i.e., in an open, dense and very dense vegetation environments. Experimental results show that vegetations have high impact on LoRa performance. Finally, this paper discusses how the proposed technology is the right one for smart agriculture in relation to crop protection.
机译:物联网(IoT)应用程序正在不断革新我们的生活,这是由于创新平台的持续杰出发展,例如,精确的传感器,云解决方案,以及涉及标准和协议方面的相关进步。物联网应用的最新趋势之一是智能农业,它正在发展以解决生产者的一些相关问题。在本文中,我们提出了一种用于精准农业的物联网解决方案,旨在消除有蹄类动物并防止对农田的损害。此外,本文提供了针对此应用程序设计和部署的完整体系结构的深入技术说明,该体系结构由低功耗广域网(LPWAN)和后端系统组成。该部署还根据LoRa网络在农村在不同场景下(即在开放,密集和非常密集的植被环境中)的可靠性来探索其性能。实验结果表明,植被对LoRa性能的影响很大。最后,本文讨论了与作物保护相关的拟议技术如何成为智能农业的正确选择。

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