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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...

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Autores principales: Popescu, Dan, Stoican, Florin, Stamatescu, Grigore, Ichim, Loretta, Dragana, Cristian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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