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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7181210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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