AI-Powered Forest Surveillance Systems: A Study of Cloud-Enabled Machine Learning Models for Identifying and Preventing Illegal Logging and Deforestation

Authors: Charan Shankar Kummarapurugu

DOI: https://doi.org/10.5281/zenodo.14183793

Short DOI: https://doi.org/g8rc4q

Country: USA

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Abstract: The rapid and persistent increase in illegal log- ging and deforestation activities has emerged as a significant environmental challenge, contributing to biodiversity loss, cli- mate change, and ecological degradation. Traditional surveillance mechanisms, such as satellite imaging and ground patrols, often struggle with limitations like delayed detection, insufficient data resolution, and the inability to provide real-time alerts over large and remote areas. With the advent of Artificial Intelligence (AI) and cloud computing technologies, new avenues for enhancing the efficiency and effectiveness of forest monitoring systems have been opened. This study investigates the deployment of AI- powered forest surveillance systems using cloud-enabled machine learning models aimed at identifying and preventing illegal logging activities. The proposed architecture integrates Inter- net of Things (IoT) sensors, unmanned aerial vehicles (UAVs), and cloud-based AI models to enable real-time analysis and decision-making. Through comparative analysis, various machine learning algorithms are assessed based on their performance in detection accuracy, response time, and computational resource consumption. Results demonstrate that cloud-based machine learning models can achieve significant improvements in detection accuracy and timeliness compared to traditional approaches. This study concludes that integrating AI with cloud technology provides a robust solution for real-time forest surveillance, contributing to sustainable forest management and conservation efforts.

Keywords: AI, Machine Learning, Forest Surveillance, Illegal Logging, Cloud Computing, Deforestation, Real-time Mon- itoring.

Paper Id: 231571

Published On: 2021-02-03

Published In: Volume 9, Issue 1, January-February 2021

Cite This: AI-Powered Forest Surveillance Systems: A Study of Cloud-Enabled Machine Learning Models for Identifying and Preventing Illegal Logging and Deforestation - Charan Shankar Kummarapurugu - IJIRMPS Volume 9, Issue 1, January-February 2021. DOI 10.5281/zenodo.14183793

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