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

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.

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 Computer Analysis of Images and Patterns (109-119). https://doi.org/10.1007/978-3-030-29930-9_11

• Conference Name: CAIP: International Conference on Computer Analysis of Images and Patterns
• Conference Location: Salerno, Italy
• Start Date: Sep 6, 2019
• Online Publication Date: Aug 23, 2019
• Publication Date: 2019
• Deposit Date: Mar 9, 2022
• Publisher: Springer
• Pages: 109-119
• Series Title: Communications in Computer and Information Science
• Series Number: 1089
• Series ISSN: 1865-0937
• Book Title: Computer Analysis of Images and Patterns
• ISBN: 978-3-030-29929-3
• DOI: https://doi.org/10.1007/978-3-030-29930-9_11
• Keywords: Unmanned aerial vehicles (UAV), Deep learning, 5G, Precision farming, 5GRIT
• Public URL: http://researchrepository.napier.ac.uk/Output/2844040