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Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture †
The growing need for food worldwide requires the development of a high-performance, high-productivity, and sustainable agriculture, which implies the introduction of new technologies into monitoring activities related to control and decision-making. In this regard, this paper presents a hierarchical...
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/PMC7038696/ https://www.ncbi.nlm.nih.gov/pubmed/32028736 http://dx.doi.org/10.3390/s20030817 |
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author | Popescu, Dan Stoican, Florin Stamatescu, Grigore Ichim, Loretta Dragana, Cristian |
author_facet | Popescu, Dan Stoican, Florin Stamatescu, Grigore Ichim, Loretta Dragana, Cristian |
author_sort | Popescu, Dan |
collection | PubMed |
description | The growing need for food worldwide requires the development of a high-performance, high-productivity, and sustainable agriculture, which implies the introduction of new technologies into monitoring activities related to control and decision-making. In this regard, this paper presents a hierarchical structure based on the collaboration between unmanned aerial vehicles (UAVs) and federated wireless sensor networks (WSNs) for crop monitoring in precision agriculture. The integration of UAVs with intelligent, ground WSNs, and IoT proved to be a robust and efficient solution for data collection, control, analysis, and decisions in such specialized applications. Key advantages lay in online data collection and relaying to a central monitoring point, while effectively managing network load and latency through optimized UAV trajectories and in situ data processing. Two important aspects of the collaboration were considered: designing the UAV trajectories for efficient data collection and implementing effective data processing algorithms (consensus and symbolic aggregate approximation) at the network level for the transmission of the relevant data. The experiments were carried out at a Romanian research institute where different crops and methods are developed. The results demonstrate that the collaborative UAV–WSN–IoT approach increases the performances in both precision agriculture and ecological agriculture. |
format | Online Article Text |
id | pubmed-7038696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70386962020-03-09 Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture † Popescu, Dan Stoican, Florin Stamatescu, Grigore Ichim, Loretta Dragana, Cristian Sensors (Basel) Article The growing need for food worldwide requires the development of a high-performance, high-productivity, and sustainable agriculture, which implies the introduction of new technologies into monitoring activities related to control and decision-making. In this regard, this paper presents a hierarchical structure based on the collaboration between unmanned aerial vehicles (UAVs) and federated wireless sensor networks (WSNs) for crop monitoring in precision agriculture. The integration of UAVs with intelligent, ground WSNs, and IoT proved to be a robust and efficient solution for data collection, control, analysis, and decisions in such specialized applications. Key advantages lay in online data collection and relaying to a central monitoring point, while effectively managing network load and latency through optimized UAV trajectories and in situ data processing. Two important aspects of the collaboration were considered: designing the UAV trajectories for efficient data collection and implementing effective data processing algorithms (consensus and symbolic aggregate approximation) at the network level for the transmission of the relevant data. The experiments were carried out at a Romanian research institute where different crops and methods are developed. The results demonstrate that the collaborative UAV–WSN–IoT approach increases the performances in both precision agriculture and ecological agriculture. MDPI 2020-02-03 /pmc/articles/PMC7038696/ /pubmed/32028736 http://dx.doi.org/10.3390/s20030817 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 | Article Popescu, Dan Stoican, Florin Stamatescu, Grigore Ichim, Loretta Dragana, Cristian Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture † |
title | Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture † |
title_full | Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture † |
title_fullStr | Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture † |
title_full_unstemmed | Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture † |
title_short | Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture † |
title_sort | advanced uav–wsn system for intelligent monitoring in precision agriculture † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038696/ https://www.ncbi.nlm.nih.gov/pubmed/32028736 http://dx.doi.org/10.3390/s20030817 |
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