D. Popescu, F. Stoican, L. Ichim, G. Stamatescu, Cristian Dragana
{"title":"Collaborative UAV-WSN System for Data Acquisition and Processing in Agriculture","authors":"D. Popescu, F. Stoican, L. Ichim, G. Stamatescu, Cristian Dragana","doi":"10.1109/IDAACS.2019.8924424","DOIUrl":null,"url":null,"abstract":"Integration of airborne robotic platforms with networks of intelligent sensor systems on the ground has recently emerged as a robust solution for data collection, analysis and control in various specialised applications. The paper presents a hierarchical structure based on the collaboration between a team of unmanned aerial vehicles and a structure of federated wireless sensor networks for crop monitoring in precision agriculture. Key advantages lay in online data collection and relaying to a central monitoring point while effectively managing network load and latency through optimised UAV trajectories and in situ data processing. The experiments were carried out at the Fundulea National Research Institute where different crops and methods are developed. The results demonstrate the fact that the collaborative UAV-WSN approach implemented in the Romanian project MUWI increases the performances both in precision agriculture and ecological agriculture.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDAACS.2019.8924424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Integration of airborne robotic platforms with networks of intelligent sensor systems on the ground has recently emerged as a robust solution for data collection, analysis and control in various specialised applications. The paper presents a hierarchical structure based on the collaboration between a team of unmanned aerial vehicles and a structure of federated wireless sensor networks for crop monitoring in precision agriculture. Key advantages lay in online data collection and relaying to a central monitoring point while effectively managing network load and latency through optimised UAV trajectories and in situ data processing. The experiments were carried out at the Fundulea National Research Institute where different crops and methods are developed. The results demonstrate the fact that the collaborative UAV-WSN approach implemented in the Romanian project MUWI increases the performances both in precision agriculture and ecological agriculture.