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Internet of Things for Precision Agriculture Applications

机译:精准农业应用的物联网

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Precision agriculture is an innovative technique that encourages the use of Information Technology devices to produce high-quality yield with the best utilization of available resources. Presently, the practice of precision agriculture has become more common due to the inclusion of varied technologies and communication mediums. This technique can be acquired by farmers to optimize their crop returns with proper preservation of resources. This study proposes a Platform to measure soil and environmental parameters such as humidity, temperature, and moisture of the soil. In contrast, the population is increasing in an inclined order, to keep an eye on the growth level of the population level and requirement of the food resources, the researchers are still struggling for the dataset availability of their region. Thus, a need to measure crop parameters for analysis was felt. This study uses Raspberry Pi, Sensors and other information technology-based types of equipment to fetch the data and readings of the soil and environment. Further, a methodology has been devised which uses a cloud platform, for real-time analysis of the data gathered from the proposed platform. This analysis includes several plots that are based on the readings of the sensors from the station. The upshot of this study is the possibility that the researchers could implement the model using the observed reading from the soil and environment and it could also be aggregate, visualize and analyze the live stream of data for their local region. The study could further be used as a foundation for implementing precision agriculture models such as unmanned aerial vehicle-based precision farming.
机译:精准农业是一项创新技术,它鼓励使用信息技术设备来以可利用资源的最佳利用来产生高质量的产量。目前,由于包含了多种技术和通讯媒介,精确农业的实践已变得越来越普遍。农民可以使用这项技术,以在适当保存资源的情况下优化农作物的收成。这项研究提出了一个平台来测量土壤和环境参数,例如湿度,温度和土壤湿度。相反,人口以倾斜的顺序增长,以关注人口水平的增长水平和对粮食资源的需求,研究人员仍在努力寻找其所在地区的数据集。因此,感到需要测量作物参数以进行分析。这项研究使用Raspberry Pi,传感器和其他基于信息技术的设备类型来获取土壤和环境的数据和读数。此外,已经设计出一种使用云平台的方法,用于对从所提出的平台收集的数据进行实时分析。该分析包括多个图表,这些图表基于来自站点的传感器的读数。这项研究的结果是,研究人员可以使用从土壤和环境中观察到的读数来实施该模型,也可以对其本地区域的实时数据流进行汇总,可视化和分析。该研究可进一步用作实施精确农业模型的基础,例如基于无人机的精确农业。

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