@inproceedings{a4f1edbf0d2d4f9b8205bac8ce4d0027,
title = "Performance of MobileNetV3 Transfer Learning on Handheld Device-based Real-Time Tree Species Identification",
keywords = "CNN, MobileNet, mobile devices, plant identification, transfer learning",
author = "Ambreen Hussain and Bidushi Barua and Ahmed Osman and Raouf Abozariba and {Taufiq Asyhari}, A.",
note = "Funding Information: This work was funded by the Department for Digital, Culture, Media & Sport (DCMS) as part of the 5G Connected Forest (5GCF) project under its 5G Testbeds and Trials Program. ∗The corresponding authors for this work are Ambreen Hussain and A. Taufiq Asyhari. Publisher Copyright: {\textcopyright} 2021 Chinese Automation and Computing Society in the UK-CACSUK.; 26th International Conference on Automation and Computing, ICAC 2021 ; Conference date: 02-09-2021 Through 04-09-2021",
year = "2021",
doi = "10.23919/ICAC50006.2021.9594222",
language = "English",
series = "2021 26th International Conference on Automation and Computing: System Intelligence through Automation and Computing, ICAC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Chenguang Yang",
booktitle = "2021 26th International Conference on Automation and Computing",
}