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Digital Detection of Acacia Mangium Trees via Remote Sensin..:

, In: Proceedings of the 2023 12th International Conference on Informatics, Environment, Energy and Applications,

Idrissi, Moad ; Wahab, Ahmad Najiy ; El-Banna, Dalia... - p. 27-32 , 2023

Link: https://dl.acm.org/doi/10.1145/3594692.3594697

RT 
T1 <cTitle>Proceedings of the 2023 12th International Conference on Informatics, Environment, Energy and Applications</cTitle>: T1 <Title>Digital Detection of Acacia Mangium Trees via Remote Sensing for Controlling the Invasive Population of Biodiversity Threats: Case Study in Brunei</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3594697&Exemplar=1&LAN=DE
				
A1 Idrissi, Moad
A1 Wahab, Ahmad Najiy
A1 El-Banna, Dalia
A1 Lai, Daphne
A1 Slik, Ferry
A1 Asyhari, Taufiq
PB ACM
YR 2023
K1 Acacia Mangium
K1 Artificial Intelligence
K1 Convoilutional Neural Network (CNN)
K1 UAV
K1 Applied computing
K1 Physical sciences and engineering
K1 Earth and atmospheric sciences
K1 Environmental sciences
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision tasks
K1 Machine learning
K1 Machine learning algorithms
K1 Feature selection
SP 27
OP 32
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3594692.3594697
DO https://dl.acm.org/doi/10.1145/3594692.3594697
SF ELIB - SuUB Bremen

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