An Integrated Precision Farming Application Based on 5G, UAV and Deep Learning Technologies

Razaak, Manzoor; Kerdegari, Hamideh; Davies, Eleanor; Abozariba, Raouf; Broadbent, Matthew; Mason, Katy; Argyriou, Vasileios; Remagnino, Paolo

doi:10.1007/978-3-030-29930-9\_11

An Integrated Precision Farming Application Based on 5G, UAV and Deep Learning Technologies

Razaak, Manzoor; Kerdegari, Hamideh; Davies, Eleanor; Abozariba, Raouf; Broadbent, Matthew; Mason, Katy; Argyriou, Vasileios; Remagnino, Paolo

Authors

Manzoor Razaak

Hamideh Kerdegari

Eleanor Davies

Raouf Abozariba

Matthew Broadbent

Katy Mason

Vasileios Argyriou

Professor Paolo Remagnino paolo.remagnino@durham.ac.uk
Professor in Computer Science

Contributors

M Vento
Editor

G Percannella
Editor

Citation

Razaak, M., Kerdegari, H., Davies, E., Abozariba, R., Broadbent, M., Mason, K., Argyriou, V., & Remagnino, P. (2019, December). An Integrated Precision Farming Application Based on 5G, UAV and Deep Learning Technologies. Presented at COMPUTER ANALYSIS OF IMAGES AND PATTERNS (CAIP 2019) Univ Salerno, Dept Comp \& Elect Engn \& Appl Math, Intelligent Machines Recognit Video Images \& Audio Lab; A I Tech srl; SAST Gmbh; AI4Health srl; Gesan srl; Hanwha Techwin Europe Ltd; Nexsoft SpA

Presentation Conference Type	Conference Paper (published)
Conference Name	COMPUTER ANALYSIS OF IMAGES AND PATTERNS (CAIP 2019) Univ Salerno, Dept Comp \& Elect Engn \& Appl Math, Intelligent Machines Recognit Video Images \& Audio Lab; A I Tech srl; SAST Gmbh; AI4Health srl; Gesan srl; Hanwha Techwin Europe Ltd; Nexsoft SpA
Publication Date	2019
Deposit Date	Sep 6, 2022
Volume	1089
Pages	109-119
Series Title	Communications in Computer and Information Science
DOI	https://doi.org/10.1007/978-3-030-29930-9%5C_11
Public URL	https://durham-repository.worktribe.com/output/1136897