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AuthorAl-Thani, Najla
AuthorAlbuainain, Alreem
AuthorAlnaimi, Fatima
AuthorZorba, Nizar
Available date2024-07-14T07:57:23Z
Publication Date2020
Publication Name20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020 - Proceedings
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/MELECON48756.2020.9140588
URIhttp://hdl.handle.net/10576/56619
AbstractNowadays, Unmanned Aerial Vehicles (UAV) have been included in many more applications such as package delivery, traffic monitoring, etc; and one of its potential applications is agriculture. This work demonstrates the research and design of a new application for the drones, which is monitoring sheep livestock. We describe the set-up process for the drone and what are the equipment used for it, how the system for the monitoring is designed, what are the system limitations and how the constraints are satisfied within the system design of the system. Image processing and Machine Learning are heavily used along the setup, and therefore, the system is trained and tested in a real field that served the purpose of this paper. Different setups that match a wide spectrum of applications are deployed and their results thoroughly discussed.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectDrone
image processing
machine learning
sheep monitoring
UAV
TitleDrones for Sheep Livestock Monitoring
TypeConference Paper
Pagination672-676
dc.accessType Abstract Only


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