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Open AccessArticle

Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture

Faculty of Automatic Control and Computers, University Politehnica of Bucharest, 060042 Bucharest, Romania
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This paper is a considerably extended version of our paper published in Dan, P.; Florin, S.; Loretta, I.; Grigore, S.; Cristian, D. Collaborative UAV-WSN system for data acquisition and processing in agriculture. In Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS 2019), Metz, France, 18–21 September 2019.
Sensors 2020, 20(3), 817; https://doi.org/10.3390/s20030817
Received: 31 December 2019 / Revised: 27 January 2020 / Accepted: 31 January 2020 / Published: 3 February 2020
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. View Full-Text
Keywords: unmanned aerial vehicles; wireless sensor networks; intelligent data processing; trajectory planning; relevant data extraction; data consensus; Internet of Things; precision agriculture unmanned aerial vehicles; wireless sensor networks; intelligent data processing; trajectory planning; relevant data extraction; data consensus; Internet of Things; precision agriculture
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MDPI and ACS Style

Popescu, D.; Stoican, F.; Stamatescu, G.; Ichim, L.; Dragana, C. Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture. Sensors 2020, 20, 817. https://doi.org/10.3390/s20030817

AMA Style

Popescu D, Stoican F, Stamatescu G, Ichim L, Dragana C. Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture. Sensors. 2020; 20(3):817. https://doi.org/10.3390/s20030817

Chicago/Turabian Style

Popescu, Dan; Stoican, Florin; Stamatescu, Grigore; Ichim, Loretta; Dragana, Cristian. 2020. "Advanced UAV–WSN System for Intelligent Monitoring in Precision Agriculture" Sensors 20, no. 3: 817. https://doi.org/10.3390/s20030817

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