Zakari, Rufai Yusuf; Shafik, Wasswa; Kalinaki, Kassim; Iheaturu, Chima Jude (2024). Internet of Forestry Things (IoFT) Technologies and Applications in Forest Management. In: Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy (pp. 275-295). Boca Raton: CRC Press Taylor & Francis Group
Full text not available from this repository. (Request a copy)Forests play a crucial role in sustaining the planet and human societies, offering a wide range of benefits like climate and water cycle regulation, biodiversity conservation, and the provision of essential resources. However, forests face significant challenges, such as deforestation, forest degradation, and the impacts of climate change, jeopardizing their long-term sustainability. To tackle these pressing issues, innovative solutions are required, and the internet of things (IoT) emerges as a promising avenue. By leveraging IoT technologies in forest management, also known as the internet of forestry things (IoFT), a transformative approach to forest management can be achieved. The IoFT technology empowers real-time data collection on forest conditions, encompassing parameters like temperature, humidity, and soil moisture. Additionally, it facilitates monitoring the movement and location of various forest assets, including wildlife, carbon stock, personnel, and equipment. This chapter presents a comprehensive overview of the current state of IoFT technologies and their applications in forest management. The chapter explores the potential benefits of IoFT technology in forest management, highlighting its ability to enhance the efficiency, effectiveness, significance, and sustainability of forest ecosystems. It draws upon a collection of studies, reports, and articles to elucidate the various applications of IoFT technologies in forest management. These applications encompass monitoring forest health, predicting and detecting forest fires, and identifying illegal logging activities, among others. IoFT technologies also offer opportunities for optimizing forest operations such as harvesting and transportation while improving the safety of forest workers. However, the chapter also acknowledges the challenges and limitations associated with IoFT technologies in forest management. Concerns over data privacy, security, and interoperability are discussed, emphasizing the need for careful consideration and robust solutions to address these issues. In conclusion, the study provides recommendations for future research endeavors aimed at addressing the challenges and advancing the utilization of IoFT technologies in forest management. By doing so, the potential of IoFT technologies can be harnessed to their fullest extent, paving the way for sustainable and effective forest management practices.
Item Type: |
Book Section (Book Chapter) |
|---|---|
Division/Institute: |
08 Faculty of Science > Institute of Geography > Geographies of Sustainability > Unit Land Systems and Sustainable Land Management (LS-SLM) 08 Faculty of Science > Institute of Geography > Geographies of Sustainability 08 Faculty of Science > Institute of Geography |
Graduate School: |
International Graduate School North-South (IGS North-South) |
UniBE Contributor: |
Iheaturu, Chima Jude |
Subjects: |
000 Computer science, knowledge & systems |
ISBN: |
9781003434269 |
Publisher: |
CRC Press Taylor & Francis Group |
Language: |
English |
Submitter: |
Chima Jude Iheaturu |
Date Deposited: |
18 Mar 2024 10:54 |
Last Modified: |
18 Mar 2024 10:54 |
Related URLs: |
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URI: |
https://boris.unibe.ch/id/eprint/193939 |
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