@inproceedings{480598dd880a40be93203b7b9f500695,
title = "An integrated precision farming application based on 5G, UAV and deep learning technologies",
keywords = "5G, 5GRIT, Deep learning, Precision farming, Unmanned aerial vehicles (UAV)",
author = "Manzoor Razaak and Hamideh Kerdegari and Eleanor Davies and Raouf Abozariba and Matthew Broadbent and Katy Mason and Vasileios Argyriou and Paolo Remagnino",
note = "Funding Information: The research leading to these results have received funding from the Department for Digital, Culture, Media & Sports (DCMS), United Kingdom, under its 5G trials and testbeds program. Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 1st Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019, and 1st Workshop on Visual Computing and Machine Learning for Biomedical Applications, ViMaBi 2019 held at the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019 ; Conference date: 06-09-2019 Through 06-09-2019",
year = "2019",
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 Gennaro Percannella and Sara Colantonio and Daniela Giorgi and Matuszewski, {Bogdan J.} and Hamideh Kerdegari and Manzoor Razaak",
booktitle = "Computer Analysis of Images and Patterns - CAIP 2019 International Workshops, ViMaBi and DL-UAV 2019, Proceedings",
}