Tech-Driven Forest Conservation: Combating Deforestation With Internet of Things, Artificial Intelligence, and Remote Sensing

被引：8

作者：

Haq, Bushra ^{[1
]}

Jamshed, Muhammad Ali ^{[2
]}

Ali, Kamran ^{[3
]}

Kasi, Bakhtiar ^{[1
]}

Arshad, Saira ^{[4
]}

Kasi, Mumraiz Khan ^{[1
]}

Ali, Imran ^{[1
]}

Shabbir, Aqsa ^{[4
]}

Abbasi, Qammer H. ^{[2
]}

Ur-Rehman, Masood ^{[2
]}

机构：

[1] Balochistan Univ Informat Technol Engn & Managemen, Fac Informat & Commun Technol, Quetta 87300, Pakistan

[2] Univ Glasgow, James Watt Sch Engn, Glasgow G12 8QQ, Scotland

[3] Middlesex Univ, Fac Sci & Technol, Comp Sci Dept, London NW4 4BT, England

[4] Women Univ, Lahore Coll, Dept Elect Engn, Lahore 44444, Pakistan

来源：

IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 14期

关键词：

Forestry; Deforestation; Artificial intelligence; Wireless sensor networks; Environmental monitoring; Internet of Things; Vegetation; Climate change; Remote sensing; Deep learning; Machine learning; Biodiversity; Energy conservation; Satellite images; Artificial intelligence (AI); deep learning (DL); deforestation; image processing; Internet of Things (IoT); machine learning (ML); remote sensing; wireless sensor networks (WSNs); NEURAL-NETWORK; TIME; SENTINEL-1; FUTURE; GIS;

D O I：

10.1109/JIOT.2024.3378671

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Deforestation poses a significant global environmental challenge with far-reaching consequences for biodiversity, climate change, and livelihoods. In this context, applying advanced technologies, such as the Internet of Things (IoT) and artificial intelligence (AI), holds immense promise. This article aims to comprehensively review and analyze the role of IoT, AI, and remote sensing technologies in monitoring, detecting, predicting, and preventing deforestation. By providing real-time data and enabling early detection, these technologies contribute to addressing activities like illegal logging, plant diseases, and forest fires. This review presents an overview of the advantages and limitations of these technologies, accompanied by an analysis of their current state and future potential. Key technologies covered include IoT, satellite imagery, drones, and AI algorithms, with each offering unique applications. Importantly, this article underscores the significance of these technologies in protecting forests and the diverse species they support. The findings discussed herein aim to inform ongoing debates and provide a foundation for further research in this crucial domain. Ultimately, the knowledge gained from this research has the potential to guide practical interventions and policies for effective forest conservation.

引用

页码：24551 / 24568

页数：18

共 21 条

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Andronie, Mihai
Lazaroiu, George
Iatagan, Mariana
Uta, Cristian
Stefanescu, Roxana
Cocosatu, Madalina
ELECTRONICS, 2021, 10 (20)

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