Aerial remote sensing in agriculture: A practical approach to area coverage and path planning for fleets of mini aerial robots

In this paper, a system that allows applying precision agriculture techniques is described. The application is based on the deployment of a team of unmanned aerial vehicles that are able to take georeferenced pictures in order to create a full map by applying mosaicking procedures for postprocessing...

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Bibliographic Details
Published inJournal of field robotics Vol. 28; no. 5; pp. 667 - 689
Main Authors Barrientos, Antonio, Colorado, Julian, Cerro, Jaime del, Martinez, Alexander, Rossi, Claudio, Sanz, David, Valente, João
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.09.2011
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Summary:In this paper, a system that allows applying precision agriculture techniques is described. The application is based on the deployment of a team of unmanned aerial vehicles that are able to take georeferenced pictures in order to create a full map by applying mosaicking procedures for postprocessing. The main contribution of this work is practical experimentation with an integrated tool. Contributions in different fields are also reported. Among them is a new one‐phase automatic task partitioning manager, which is based on negotiation among the aerial vehicles, considering their state and capabilities. Once the individual tasks are assigned, an optimal path planning algorithm is in charge of determining the best path for each vehicle to follow. Also, a robust flight control based on the use of a control law that improves the maneuverability of the quadrotors has been designed. A set of field tests was performed in order to analyze all the capabilities of the system, from task negotiations to final performance. These experiments also allowed testing control robustness under different weather conditions. © 2011 Wiley Periodicals, Inc.
Bibliography:ark:/67375/WNG-7FX915NF-J
ArticleID:ROB20403
FieldTestsAgricultureMorate.avi
istex:9EB00FAE753164CCEB7D9D93C3E58A173EE868E0
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1556-4959
1556-4967
1556-4967
DOI:10.1002/rob.20403