Komodo Dragon Mlipir Algorithm-based CNN Model for Detection of Illegal Tree Cutting in Smart IoT Forest Area

Title:Komodo Dragon Mlipir Algorithm-based CNN Model for Detection of Illegal Tree Cutting in Smart IoT Forest Area

Volume: 17 Issue: 6

Author(s): Rajanikanth Aluvalu*, Tarunika Sharma, Uma Maheswari Viswanadhula, Aruna Devi Thirumalraj, Maha Veera Vara Prasad Kantipudi and Swapna Mudrakola

Affiliation:

• Department of IT, Chaitanya Bharathi Institute of Technology, Hyderabad, India

Abstract:

Introduction: Trees and woods are vital to preventing climate change and protecting our planet. Sadly, they are constantly being destroyed due to human activities like deforestation, fires, etc.

Method: This research presents and examines an outline for using audio event categorisation to automatically detect unlawful tree-cutting activity in forests. To monitor large swaths of forest, the research team proposes using ultra-low-power, minor devices incorporating edgecomputing microcontrollers and long-range wireless communication. An efficient and accurate audio classification solution based on multi-layer perceptron (MLP) and modified convolutional neural networks (M-CNN) is projected and tailored for cutting. The Komodo Dragon Mlipir Algorithm (KDMA) is used to pick the best weight for the CNN.

Result: Compared to earlier efforts, the suggested system uses a computing technique to recognise deforestation-related hazards. Various preprocessing methods have been evaluated, with special attention paid to the trade-off between classification precision and computer resources, memory, and power use.

Conclusion: Additionally, there have been long-range communication trials performed in natural settings. The experimental consequences demonstrate that the suggested method can notice and apprise tree-cutting occurrences through smart IoT for efficient and lucrative forest nursing.

Cite this article as:

Aluvalu Rajanikanth*, Sharma Tarunika, Viswanadhula Maheswari Uma, Thirumalraj Aruna Devi, Prasad Kantipudi Vara Maha Veera and Mudrakola Swapna, Komodo Dragon Mlipir Algorithm-based CNN Model for Detection of Illegal Tree Cutting in Smart IoT Forest Area, Recent Advances in Computer Science and Communications 2024; 17 (6) : e260124226370 . https://dx.doi.org/10.2174/0126662558282932240119071339