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首页> 外文期刊>Indian Journal of Science and Technology >Measurement and Monitoring of Soil Moisture using Cloud IoT and Android System
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Measurement and Monitoring of Soil Moisture using Cloud IoT and Android System

机译:利用Cloud IoT和Android系统测量和监测土壤水分

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Objectives: Soil moisture information plays an important role in environmental monitoring, agricultural production and hydrological studies. Particularly, agricultural yield depends on several growing parameters like temperature, humidity, soil moisture and pH of the soil, etc. In this paper, we have designed and developed a system for measuring and monitoring soil moisture by interfacing low-cost soil moisture sensor with CC3200 LaunchPad and using Internet of Things (IoT), Cloud computing and Mobile computing technologies. Methods/Statistical Analysis: Two types of soils, namely red and black were collected from the field and experiments were carried out at room temperature. Moisture levels were measured using the commercially available soil moisture sensor: FC-28. Such values downloaded from the Cloud (earlier these values are uploaded into AT&T’s M2X Cloud technology and mobile application using CC3200 LaunchPad) are compared with the gravimetric dry basic technique. The results are in agreement with a deviation of 2%. Findings: Data corresponding to the moisture contents of red and black soils were uploaded to the AT&Ts’ M2X Cloud and accessed on-line and monitored the humidity levels on the screens of the mobile/laptop. In parallel the data acquired is also stored in the form of excel sheet for further processing. Conclusion: In this paper, we have designed and developed a Cloud computing Android system that gives on-line information about soil moisture. The results obtained for two types of soils are uploaded to the Cloud and accessed through the mobile/laptop from a remote area are presented.
机译:目标:土壤水分信息在环境监测,农业生产和水文研究中起着重要作用。特别是,农业产量取决于几个生长参数,例如温度,湿度,土壤湿度和土壤的pH值等。在本文中,我们设计和开发了一种通过与低成本土壤湿度传感器接口与土壤湿度进行测量和监测的系统CC3200 LaunchPad并使用物联网(IoT),云计算和移动计算技术。方法/统计分析:从田间收集了两种类型的土壤,即红色和黑色,并在室温下进行了试验。使用市售的土壤湿度传感器:FC-28测量湿度。将从云端下载的此类值(较早之前将这些值上传到AT&T的M2X Cloud技术和使用CC3200 LaunchPad的移动应用程序中)与重量干式基本技术进行了比较。结果与2%的偏差一致。调查结果:与红色和黑色土壤的水分含量相对应的数据已上传到AT&T的M2X Cloud,并可以在线访问并在移动/笔记本电脑的屏幕上监控湿度水平。并行地,所获取的数据也以excel表的形式存储以供进一步处理。结论:在本文中,我们设计并开发了一个Cloud Computing Android系统,该系统可提供有关土壤水分的在线信息。将两种土壤获得的结果上传到云端,并通过移动/便携式计算机从偏远地区进行访问。

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