Department of Business and Marketing, Huelva University, Huelva 21071, Spain.
Department of Agroforestry Science, Huelva University, Huelva 21071, Spain.
Sensors (Basel). 2020 Apr 7;20(7):2078. doi: 10.3390/s20072078.
The agri-food sector is in constantly renewing, continuously demanding new systems that facilitate farmers´ work. Efficient agricultural practices are essential to increasing farm profitability, and reducing water consumption can be achieved by real-time monitoring of water needs. However, the prices of automatic systems for collecting data from several sources (soil and climate) are expensive and their autonomy is very low. This paper presents a low-consumption solution using the Internet of Things (IoT) based on wireless sensor networks (WSNs) and long-range wide-area network (LoRaWAN) technologies. By means of low-power wide-area network (LPWAN) communication, a farmer can monitor the state of crops in real time thanks to a large number of sensors connected wirelessly and distributed across the farm. The wireless sensor node developed, called BoXmote, exhibits very low power, since it has been optimized both in terms of hardware and software. The result is a higher degree of autonomy than commercial motes. This will allow the farmer to have access to all of the information necessary to achieve an efficient irrigation management of his crops with full autonomy.
农业食品行业正在不断更新,不断需要新的系统来方便农民的工作。高效的农业实践对于提高农场的盈利能力至关重要,而通过实时监测水的需求可以实现减少水的消耗。然而,从多个来源(土壤和气候)收集数据的自动系统的价格昂贵,并且其自主性非常低。本文提出了一种使用物联网(IoT)的低功耗解决方案,该解决方案基于无线传感器网络(WSNs)和远距离广域网(LoRaWAN)技术。通过低功耗广域网(LPWAN)通信,农民可以通过连接到无线网络并分布在农场中的大量传感器实时监测作物的状态。所开发的无线传感器节点称为 BoXmote,由于在硬件和软件方面都进行了优化,因此功耗非常低。其结果是自主性比商业传感器节点更高。这将使农民能够访问所有必要的信息,以实现对其作物的高效灌溉管理,并具有完全的自主性。