Standard
An integrated precision farming application based on 5G, UAV and deep learning technologies. / Razaak, M.; Kerdegari, H.
; Davies, E. et al.
Computer Analysis of Images and Patterns - CAIP 2019 International Workshops, ViMaBi and DL-UAV 2019, Proceedings: CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings. ed. / Mario Vento; Gennaro Percannella ; Sara Colantonio ; Daniela Giorgi ; Bogdan J. Matuszewski ; Hamideh Kerdegari ; Manzoor Razaak . Cham: Springer-Verlag, 2019. p. 109-119 (Communications in Computer and Information Science; Vol. 1089).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Razaak, M, Kerdegari, H
, Davies, E, Abozariba, R, Broadbent, M, Argyriou, V & Remagnino, P 2019,
An integrated precision farming application based on 5G, UAV and deep learning technologies. in M Vento, G Percannella , S Colantonio , D Giorgi , BJ Matuszewski , H Kerdegari & M Razaak (eds),
Computer Analysis of Images and Patterns - CAIP 2019 International Workshops, ViMaBi and DL-UAV 2019, Proceedings: CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings. Communications in Computer and Information Science, vol. 1089, Springer-Verlag, Cham, pp. 109-119.
https://doi.org/10.1007/978-3-030-29930-9_11APA
Razaak, M., Kerdegari, H.
, Davies, E., Abozariba, R., Broadbent, M., Argyriou, V., & Remagnino, P. (2019).
An integrated precision farming application based on 5G, UAV and deep learning technologies. In M. Vento, G. Percannella , S. Colantonio , D. Giorgi , B. J. Matuszewski , H. Kerdegari , & M. Razaak (Eds.),
Computer Analysis of Images and Patterns - CAIP 2019 International Workshops, ViMaBi and DL-UAV 2019, Proceedings: CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings (pp. 109-119). (Communications in Computer and Information Science; Vol. 1089). Springer-Verlag.
https://doi.org/10.1007/978-3-030-29930-9_11Vancouver
Razaak M, Kerdegari H
, Davies E, Abozariba R, Broadbent M, Argyriou V et al.
An integrated precision farming application based on 5G, UAV and deep learning technologies. In Vento M, Percannella G, Colantonio S, Giorgi D, Matuszewski BJ, Kerdegari H, Razaak M, editors, Computer Analysis of Images and Patterns - CAIP 2019 International Workshops, ViMaBi and DL-UAV 2019, Proceedings: CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings. Cham: Springer-Verlag. 2019. p. 109-119. (Communications in Computer and Information Science). Epub 2019 Aug 23. doi: 10.1007/978-3-030-29930-9_11
Author
Razaak, M. ; Kerdegari, H.
; Davies, E. et al. /
An integrated precision farming application based on 5G, UAV and deep learning technologies. Computer Analysis of Images and Patterns - CAIP 2019 International Workshops, ViMaBi and DL-UAV 2019, Proceedings: CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings. editor / Mario Vento ; Gennaro Percannella ; Sara Colantonio ; Daniela Giorgi ; Bogdan J. Matuszewski ; Hamideh Kerdegari ; Manzoor Razaak . Cham : Springer-Verlag, 2019. pp. 109-119 (Communications in Computer and Information Science).
Bibtex
@inproceedings{994b6d819c2e4ae1b1caf0a5e5b36fd5,
title = "An integrated precision farming application based on 5G, UAV and deep learning technologies",
abstract = "Wireless communication technology has made tremendous progress over the last two decades providing extensive coverage, high data-rate and low-latency. The current major upgrade, the fifth generation (5G) wireless technology promises substantial improvement over 4G broadband cellular technology. However, even in many developed countries, rural areas are significantly under-connected with mobile wireless technology. Developing 5G testbeds in rural areas can provide an incentive for service providers to improve internet connectivity. 5G Rural Integrated Testbed (5GRIT) is a project commissioned to develop testbeds for 5G in rural areas in the United Kingdom (UK). The project aims to demonstrate the role 5G networks can play in empowering farming and tourism sectors using an integrated system of unmanned aerial vehicles (UAV) and artificial intelligence technologies. This paper reports some of the studies and findings of the 5GRIT project, specifically, the results of testbed implementation and the deep learning algorithms developed for precision farming applications.",
keywords = "5G, 5GRIT, Deep learning, Precision farming, Unmanned aerial vehicles (UAV), Agriculture, Antennas, Artificial intelligence, Engineering education, Image analysis, Learning algorithms, Medical applications, Rural areas, Testbeds, Artificial intelligence technologies, Developed countries, Internet connectivity, Learning technology, Wireless communication technology, Wireless technologies, 5G mobile communication systems",
author = "M. Razaak and H. Kerdegari and E. Davies and R. Abozariba and M. Broadbent and V. Argyriou and P. Remagnino",
year = "2019",
month = sep,
day = "1",
doi = "10.1007/978-3-030-29930-9_11",
language = "English",
isbn = "9783030299293 ",
series = "Communications in Computer and Information Science",
publisher = "Springer-Verlag",
pages = "109--119",
editor = "Mario Vento and {Percannella }, Gennaro and {Colantonio }, Sara and {Giorgi }, Daniela and {Matuszewski }, {Bogdan J.} and {Kerdegari }, Hamideh and {Razaak }, Manzoor",
booktitle = "Computer Analysis of Images and Patterns - CAIP 2019 International Workshops, ViMaBi and DL-UAV 2019, Proceedings",
}
RIS
TY - GEN
T1 - An integrated precision farming application based on 5G, UAV and deep learning technologies
AU - Razaak, M.
AU - Kerdegari, H.
AU - Davies, E.
AU - Abozariba, R.
AU - Broadbent, M.
AU - Argyriou, V.
AU - Remagnino, P.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - Wireless communication technology has made tremendous progress over the last two decades providing extensive coverage, high data-rate and low-latency. The current major upgrade, the fifth generation (5G) wireless technology promises substantial improvement over 4G broadband cellular technology. However, even in many developed countries, rural areas are significantly under-connected with mobile wireless technology. Developing 5G testbeds in rural areas can provide an incentive for service providers to improve internet connectivity. 5G Rural Integrated Testbed (5GRIT) is a project commissioned to develop testbeds for 5G in rural areas in the United Kingdom (UK). The project aims to demonstrate the role 5G networks can play in empowering farming and tourism sectors using an integrated system of unmanned aerial vehicles (UAV) and artificial intelligence technologies. This paper reports some of the studies and findings of the 5GRIT project, specifically, the results of testbed implementation and the deep learning algorithms developed for precision farming applications.
AB - Wireless communication technology has made tremendous progress over the last two decades providing extensive coverage, high data-rate and low-latency. The current major upgrade, the fifth generation (5G) wireless technology promises substantial improvement over 4G broadband cellular technology. However, even in many developed countries, rural areas are significantly under-connected with mobile wireless technology. Developing 5G testbeds in rural areas can provide an incentive for service providers to improve internet connectivity. 5G Rural Integrated Testbed (5GRIT) is a project commissioned to develop testbeds for 5G in rural areas in the United Kingdom (UK). The project aims to demonstrate the role 5G networks can play in empowering farming and tourism sectors using an integrated system of unmanned aerial vehicles (UAV) and artificial intelligence technologies. This paper reports some of the studies and findings of the 5GRIT project, specifically, the results of testbed implementation and the deep learning algorithms developed for precision farming applications.
KW - 5G
KW - 5GRIT
KW - Deep learning
KW - Precision farming
KW - Unmanned aerial vehicles (UAV)
KW - Agriculture
KW - Antennas
KW - Artificial intelligence
KW - Engineering education
KW - Image analysis
KW - Learning algorithms
KW - Medical applications
KW - Rural areas
KW - Testbeds
KW - Artificial intelligence technologies
KW - Developed countries
KW - Internet connectivity
KW - Learning technology
KW - Wireless communication technology
KW - Wireless technologies
KW - 5G mobile communication systems
U2 - 10.1007/978-3-030-29930-9_11
DO - 10.1007/978-3-030-29930-9_11
M3 - Conference contribution/Paper
SN - 9783030299293
T3 - Communications in Computer and Information Science
SP - 109
EP - 119
BT - Computer Analysis of Images and Patterns - CAIP 2019 International Workshops, ViMaBi and DL-UAV 2019, Proceedings
A2 - Vento, Mario
A2 - Percannella , Gennaro
A2 - Colantonio , Sara
A2 - Giorgi , Daniela
A2 - Matuszewski , Bogdan J.
A2 - Kerdegari , Hamideh
A2 - Razaak , Manzoor
PB - Springer-Verlag
CY - Cham
ER -
