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Leveraging LoRaWAN Technology for Precision Agriculture in Greenhouses

The technology development in wireless sensor network (WSN) offers a sustainable solution towards precision agriculture (PA) in greenhouses. It helps to effectively use the agricultural resources and management tools and monitors different parameters to attain better quality yield and production. WS...

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Autores principales: Singh, Ritesh Kumar, Aernouts, Michiel, De Meyer, Mats, Weyn, Maarten, Berkvens, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181210/
https://www.ncbi.nlm.nih.gov/pubmed/32218353
http://dx.doi.org/10.3390/s20071827
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author Singh, Ritesh Kumar
Aernouts, Michiel
De Meyer, Mats
Weyn, Maarten
Berkvens, Rafael
author_facet Singh, Ritesh Kumar
Aernouts, Michiel
De Meyer, Mats
Weyn, Maarten
Berkvens, Rafael
author_sort Singh, Ritesh Kumar
collection PubMed
description The technology development in wireless sensor network (WSN) offers a sustainable solution towards precision agriculture (PA) in greenhouses. It helps to effectively use the agricultural resources and management tools and monitors different parameters to attain better quality yield and production. WSN makes use of Low-Power Wide-Area Networks (LPWANs), a wireless technology to transmit data over long distances with minimal power consumption. LoRaWAN is one of the most successful LPWAN technologies despite its low data rate and because of its low deployment and management costs. Greenhouses are susceptible to different types of interference and diversification, demanding an improved WSN design scheme. In this paper, we contemplate the viable challenges for PA in greenhouses and propose the successive steps essential for effectual WSN deployment and facilitation. We performed a real-time, end-to-end deployment of a LoRaWAN-based sensor network in a greenhouse of the ’Proefcentrum Hoogstraten’ research center in Belgium. We have designed a dashboard for better visualization and analysis of the data, analyzed the power consumption for the LoRaWAN communication, and tried three different enclosure types (commercial, simple box and airflow box, respectively). We validated the implications of real-word challenges on the end-to-end deployment and air circulation for the correct sensor readings. We found that temperature and humidity have a larger impact on the sensor readings inside the greenhouse than we initially thought, which we successfully solved through the airflow box design.
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spelling pubmed-71812102020-04-28 Leveraging LoRaWAN Technology for Precision Agriculture in Greenhouses Singh, Ritesh Kumar Aernouts, Michiel De Meyer, Mats Weyn, Maarten Berkvens, Rafael Sensors (Basel) Review The technology development in wireless sensor network (WSN) offers a sustainable solution towards precision agriculture (PA) in greenhouses. It helps to effectively use the agricultural resources and management tools and monitors different parameters to attain better quality yield and production. WSN makes use of Low-Power Wide-Area Networks (LPWANs), a wireless technology to transmit data over long distances with minimal power consumption. LoRaWAN is one of the most successful LPWAN technologies despite its low data rate and because of its low deployment and management costs. Greenhouses are susceptible to different types of interference and diversification, demanding an improved WSN design scheme. In this paper, we contemplate the viable challenges for PA in greenhouses and propose the successive steps essential for effectual WSN deployment and facilitation. We performed a real-time, end-to-end deployment of a LoRaWAN-based sensor network in a greenhouse of the ’Proefcentrum Hoogstraten’ research center in Belgium. We have designed a dashboard for better visualization and analysis of the data, analyzed the power consumption for the LoRaWAN communication, and tried three different enclosure types (commercial, simple box and airflow box, respectively). We validated the implications of real-word challenges on the end-to-end deployment and air circulation for the correct sensor readings. We found that temperature and humidity have a larger impact on the sensor readings inside the greenhouse than we initially thought, which we successfully solved through the airflow box design. MDPI 2020-03-25 /pmc/articles/PMC7181210/ /pubmed/32218353 http://dx.doi.org/10.3390/s20071827 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Singh, Ritesh Kumar
Aernouts, Michiel
De Meyer, Mats
Weyn, Maarten
Berkvens, Rafael
Leveraging LoRaWAN Technology for Precision Agriculture in Greenhouses
title Leveraging LoRaWAN Technology for Precision Agriculture in Greenhouses
title_full Leveraging LoRaWAN Technology for Precision Agriculture in Greenhouses
title_fullStr Leveraging LoRaWAN Technology for Precision Agriculture in Greenhouses
title_full_unstemmed Leveraging LoRaWAN Technology for Precision Agriculture in Greenhouses
title_short Leveraging LoRaWAN Technology for Precision Agriculture in Greenhouses
title_sort leveraging lorawan technology for precision agriculture in greenhouses
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181210/
https://www.ncbi.nlm.nih.gov/pubmed/32218353
http://dx.doi.org/10.3390/s20071827
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