Model for Detecting Illegal Tree Felling in the Protected Area of Bagua in Amazonas Using Convolutional Neural Networks

Wilmer Carbajal, Julio Llantoy, Jymmy Alarcon

2024

Abstract

Illegal logging is a problem that occurs in different regions of Peru, causing deforestation, biodiversity loss, and contributing to climate change.Despite the efforts of organizations and governments to combat this problem, constant detection and monitoring are challenging due to the vast extension of forests and the lack of human resources to effectively monitor all areas.Therefore, the use of a detection model is proposed as a solution to detect illegal logging in real time through chainsaw sound. This model consists of four phases: Input, Analysis, Execution, and Output.Phase 1 focuses on the collection of sounds from recording devices. Phase 2 analyzes and processes the characteristic chainsaw sounds. Phase 3 focuses on the execution of the model. Phase 4 will display the result of the detection as a numerical value 1 or 0 as the case may be.The results of the experimental validation were obtained by using mobile devices to record and send audio to the detection model. These results were positive and acceptable in terms of accuracy in detecting illegal logging activities, achieving a 10% reduction in such activities.

Paper Citation

in Harvard Style

Carbajal W., Llantoy J. and Alarcon J. (2024). Model for Detecting Illegal Tree Felling in the Protected Area of Bagua in Amazonas Using Convolutional Neural Networks. In Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-718-4, SciTePress, pages 242-249. DOI: 10.5220/0012948400003825

in Bibtex Style

@conference{webist24,
author={Wilmer Carbajal and Julio Llantoy and Jymmy Alarcon},
title={Model for Detecting Illegal Tree Felling in the Protected Area of Bagua in Amazonas Using Convolutional Neural Networks},
booktitle={Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2024},
pages={242-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012948400003825},
isbn={978-989-758-718-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Model for Detecting Illegal Tree Felling in the Protected Area of Bagua in Amazonas Using Convolutional Neural Networks
SN - 978-989-758-718-4
AU - Carbajal W.
AU - Llantoy J.
AU - Alarcon J.
PY - 2024
SP - 242
EP - 249
DO - 10.5220/0012948400003825
PB - SciTePress