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The Role of AI in the Smart Monitoring of Trees: Leveraging Advanced Technologies for Sustainable Forest Management
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Author(s): Zanab Safdar (University of West London, UK), Ikram Ur Rehman (University of West London, UK), Kalsoom Safdar (University of Jhang, Pakiatan), Waqar Asif (University of West London, UK), Hafiz Husnain Raza Sherazi (Newcastle University, UK)and Fabio Tosti (University of West London, UK)
Copyright: 2027
Pages: 19
Source title:
Encyclopedia of Modern Artificial Intelligence
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/407414
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Abstract
The development and integration of Artificial Intelligence (AI) combined with the Internet of Things (IoT) and the Internet of Trees (IoTr) have taken forest monitoring and management to a next level of advancement. Some key applications of AI are climate data analysis, disease and pest detection, and wildfire prediction and management. The IoTr offers different types of data collection using sensors that include soil moisture, temperature, humidity, and certain volume rates of tree sap flow. The use of AI and IoTr in forest monitoring offers several benefits; however, several issues and challenges remain to be addressed like data quality, model reliability, and compatibility with existing systems. Future work should address these challenges by enhancing the accuracy of AI models, ensuring data privacy and security, and developing ethical considerations.
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