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., …Remagnino, P. (2019). An Integrated Precision Farming Application Based on 5G, UAV and Deep Learning Technologies. In M. Vento, & G. Percannella (Eds.), . https://doi.org/10.1007/978-3-030-29930-9%5C_11

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