@inproceedings{d20abb068d3b4bd3a91473543bc98946,
title = "Digital Detection of Acacia Mangium Trees via Remote Sensing for Controlling the Invasive Population of Biodiversity Threats: Case Study in Brunei",
keywords = "Acacia Mangium, Artificial Intelligence, Convoilutional Neural Network (CNN), UAV",
author = "Moad Idrissi and Wahab, {Ahmad Najiy} and Dalia El-Banna and Daphne Lai and Ferry Slik and Taufiq Asyhari",
note = "Funding Information: This work was conducted under the UK-ASEAN ILECR project funded by the British Council under the project “Digital mapping as evidence base for controlling invasive Acacia Mangium population as biodiversity threats through interdisciplinary computing-ecology research”. Publisher Copyright: {\textcopyright} 2023 ACM.; 12th International Conference on Informatics, Environment, Energy and Applications, IEEA 2023 ; Conference date: 17-02-2023 Through 19-02-2023",
year = "2023",
month = feb,
day = "17",
doi = "10.1145/3594692.3594697",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "27--32",
booktitle = "Proceedings of the 2023 12th International Conference on Informatics, Environment, Energy and Applications, IEEA 2023",
}