Autonomous Architecture for UAV-based Agricultural Survey

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dc.contributor.authorMondal, Sabyasachi
dc.contributor.authorWilliamson, Alex
dc.contributor.authorXu, Zhengjia
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2023-05-15T10:01:38Z
dc.date.available2023-05-15T10:01:38Z
dc.date.issued2020-01-05
dc.description.abstractThis paper presents the concept of autonomous architecture for UAVs to minimize human involvement for agricultural surveying. Agricultural surveying applications include monitoring crop health and collecting ground truth data for treatment and harvest planning. The proposed architecture can automate the entire surveying process and helps farmers to obtain specific and essential knowledge about the crop more quickly. This architecture helps to increase crop yields while reducing operating costs. The autonomy is achieved by integrating functional modules such as Mission Planning, image processing, task allocation, and communication. This work is focused on describing the mission planning and task allocation since image processing is not within the scope.en_UK
dc.identifier.citationMondal S, Williamson A, Xu Z, Tsourdos A. (2020) Autonomous architecture for UAV-based agricultural survey. In: AIAA SciTech Forum 2020, 6-10 January 2020, Orlando, Florida, USAen_UK
dc.identifier.isbn9781624105951
dc.identifier.urihttps://doi.org/10.2514/6.2020-2298
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19643
dc.language.isoenen_UK
dc.publisherAIAAen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleAutonomous Architecture for UAV-based Agricultural Surveyen_UK
dc.typeConference paperen_UK

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