基于物联网的智能农业数据管理

Jose Vicente Yago Martnez, A. Skarmeta, M. Zamora-Izquierdo, Alfonso P. Ramallo-Gonzlez
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引用次数: 2

摘要

精准农业作为信息、通信和控制技术在农业中的集成,正日益发展。物联网(IoT)和云计算范式为增强PA连接提供了进步,但典型的物联网测量并不是作物管理系统可用的唯一数据源。地理信息系统(GIS)的飞速发展为近实时的作物状况分析提供了有力的工具,其中哥白尼哨兵2号卫星(Sentinel-2)遥感影像的应用为作物状况分析带来了革命性的变化。此外,网站上散布着大量非结构化的农业数据,如果通过网络抓取技术系统地收集这些数据,将非常有用。在本文中,我们提出了一个现实生活中的例子,这种异构数据可以作为尖端智能农业平台的补充。具体地说,作物蒸散量的计算已经作为一个案例研究进行了预估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT-based data management for Smart Agriculture
Precision Agriculture (PA), as the integration of information, communication and control technologies in agriculture, is growing day by day. The Internet of Things (IoT) and cloud computing paradigms offer advances to enhance PA connectivity but typical IoT measurements are not the only data sources available for crop management systems. The great development of Geographic Information Systems (GIS) provides a powerful tool for analyze the crop status in a near real time extent, concretely the images from Copernicus Sentinel-2 satellite have revolutionized PA. Also, there is a lot of unstructured agricultural data disseminated on websites that can be very useful if collected systematically trough web scraping techniques. In this article we present a real-life example of such heterogenous data to serve as complement for a cutting-edge smart farming platform. Specifically, the calculation of the Crop Evapotranspiration has been projected as a case study.
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