Application of the Internet of Things through a Network of Wireless Sensors in a Coffee Crop for Monitoring and Control its Environmental Variables
Application of the Internet of Things through a Network of Wireless Sensors in a Coffee Crop for Monitoring and Control its Environmental Variables
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DOI：
10.22430/22565337.1485
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发表时间：
2019-12-01
期刊：
影响因子：
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通讯作者：
Pallares, Luis
中科院分区：
文献类型：
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作者：
Ruíz-Martínez, William;Díaz-Gutiérrez, Yesid;Pallares, Luis
摘要本文介绍了物联网（IoT）的应用，作为开发无线传感器网络的技术工具，旨在监测和控制影响咖啡种植及其最终质量的一系列环境变量。进行了网络及其设备的逻辑和物理设计，在给定的领域中配置传感器网络，并收集某些环境变量的信息，以与已经建立的一系列参数进行比较。该程序将允许咖啡种植者观察这些变量随时间推移的行为，并在这些措施超出既定范围时设置警报或警告的生成。该研究确定，由于发现的品种数量众多，地形和环境变量影响生产过程和谷物的最终质量，咖啡种植的管理相当复杂。它还确定，无线传感器网络的开发和实施今天是可能的，由于因素，如设备成本的降低和使用开源软件，避免额外的许可证价值。最后，根据分析的参数，可以确定咖啡作物的主要问题之一是高湿度，在实践中，这会影响传感器的性能及其测量。
Abstract This article presents the application of the Internet of things (IoT), as a technological tool for the development of a wireless sensor network with the aim of monitoring and controlling a series of environmental variables affecting the cultivation of coffee and its final quality. The logical and physical design of the network and its devices was carried out, the sensors network was configured in a given field and the information of certain environmental variables was collected to be compared with a series of parameters already established. This procedure will allow the coffee growers to observe the behavior of these variables over time and set the generation of alerts or warnings when these measures are outside the established ranges. The study determined that the management of coffee cultivation is quite complex due to the large number of varieties found, the terrain and environmental variables affecting the production process and the final quality of the grain. It was also determined that the development and implementation of wireless sensor networks is possible today due to factors such as the reduction of device costs and the use of open source software, avoiding additional licensing values. Finally, based on the parameters analyzed, it was possible to establish that one of the main problems in coffee crops is the intense humidity that, in practice, can affect the performance of the sensors and their measurements.