Article
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Preserved in Portico This version is not peer-reviewed
An Autonomous Wireless Device for Real-Time Monitoring of Water Needs
Version 1
: Received: 19 July 2018 / Approved: 19 July 2018 / Online: 19 July 2018 (12:51:38 CEST)
A peer-reviewed article of this Preprint also exists.
Borrero, J.D.; Zabalo, A. An Autonomous Wireless Device for Real-Time Monitoring of Water Needs. Sensors 2020, 20, 2078, doi:10.3390/s20072078. Borrero, J.D.; Zabalo, A. An Autonomous Wireless Device for Real-Time Monitoring of Water Needs. Sensors 2020, 20, 2078, doi:10.3390/s20072078.
Abstract
A The agri-food sector is in full renovation, continuously demanding new systems that allow farmers to facilitate their work. Efficient agricultural practices are essential for increasing farm profitability. Efficient agricultural practices can be increased by understanding and managing water neeeds. However, real-time monitoring of water needs is currently slow, and irrigation decisions are based on previous data or physical evidence. Furthermore, the prices of automatic systems for collecting data from several sources (soil and climate) are expensive and the autonomy is very low. Emerging Internet of Things (IoT) technologies such as wireless sensor networks can be used to collect vast amounts of data recorded via apps. By means of an LPWAN communication the farmer can know in real time the state of his crops thanks to a large number of sensors connected wirelessly and distributed across his farm. This paper presents a low consumption solution based on LoRaWAN technology. The wireless sensor node, called BoX, 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. That will allow the farmer to have all the information necessary to achieve an efficient management of his crops with full autonomy.
Keywords
LoraWAN; IoT, agriculture 4.0; wireless sensor network; low consumption
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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