APPLIED JOURNAL OF PHYSICAL SCIENCE
Integrity Research Journals
ISSN: 2756-6684
Model: Open Access/Peer Reviewed
DOI: 10.31248/AJPS
Start Year: 2018
Email: ajps@integrityresjournals.org
Development of an intelligent forest surveillance and analytics system
https://doi.org/10.31248/AJPS2025.134 | Article Number: 8CBE4E451 | Vol.7 (1) - February 2026
Received Date: 08 December 2025 | Accepted Date: 24 January 2026 | Published Date: 28 February 2026
Authors: Johnson Ajayi Olalekan , Samuel Awuna Kile* and Jeremiah Yusuf Bassi
Keywords: Remote Sensing, deep learning, intelligent forest surveillance, illegal logging detection, wildfire risk prediction
APA STYLE
Olalekan, J. A., Kile, S. A., & Bassi, J. Y. (2026). Development of an intelligent forest surveillance and analytics system. Applied Journal of Physical Science, 7(1), 1-18.
HARVARD STYLE
Olalekan, J. A., Kile, S. A. and Bassi, J. Y. (2026). Development of an intelligent forest surveillance and analytics system. Applied Journal of Physical Science, 7(1), Pp. 1-18.
VANCOUVER STYLE
Olalekan JA, Kile SA & Bassi JY. Development of an intelligent forest surveillance and analytics system. Applied Journal of Physical Science. 2026 Feb 28:7(1): 1-18.
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