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Towards Protecting Agriculture from Exogenous and Endogenous Factors: An Holistic Architecture

机译:致力于保护农业免受外来和内在因素的影响:整体架构

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An holistic architecture that fosters the application of Smart Farming (SF) in the context of agriculture is proposed in this paper. The proposed architecture exploits the benefits of Internet of Things (IoT), by utilizing a) Wireless Sensor Networks (WSN) for real time monitoring and b) Unmanned Aerial Vehicles (UAVs) / flying Ad-hoc Networks (FANETs) for macroscopic monitoring of the field and inspecting the crops using multispectral cameras. The aggregated data coming from the monitoring process feed the cloud infrastructure, where Machine Learning (ML) and Computer Vision (CV) techniques are applied in order to protect plants from exogenous (e.g., pests) and endogenous (e.g., diseases) factors.
机译:本文提出了一种整体架构,该架构促进了智能农业在农业领域的应用。通过利用a)无线传感器网络(WSN)进行实时监视和b)无人飞行器(UAV)/飞行自组织网络(FANET)进行宏观监视,提出的架构利用了物联网(IoT)的优势。现场并使用多光谱相机检查农作物。来自监视过程的汇总数据馈送给云基础架构,在云基础架构中应用了机器学习(ML)和计算机视觉(CV)技术以保护植物免受外源(例如,有害生物)和内源(例如,疾病)因素的侵害。

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