GreenSoal:Illegal Tree Logging Detection System Using IOT

H. Bandaranayake, D.M.M.Y.P. Mahamohottala, W. Wijekoon, K.M.V.T. Sandakelum, N. Gamage, Windhya Rankothge
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引用次数: 1

Abstract

Illegal logging causes widespread deforestation. Global consequences. Controlling when, where, and how illegal actions occur would help protect trees and decrease deforestation. Because people don't know this, illicit logging is hard to remove. This can be reduced by monitoring protected forests. In protected woods, wireless sensor networks and neural networks can detect chainsaw and human sounds. We also offer sound source detection. The proposed system was able to distinguish noises emanating from a range of 30 meters, detect the position of the sounds to within 180 degrees, and communicate its generated message to authorities by using a proposed wireless transmission protocol on a hop-to-hop system. Proposed machine learning model performs at above 93% accuracy.
GreenSoal:使用物联网的非法采伐检测系统
非法采伐造成大面积的森林砍伐。全球性后果。控制非法行为发生的时间、地点和方式将有助于保护树木和减少森林砍伐。因为人们不知道这一点,非法采伐很难消除。这可以通过监测受保护的森林来减少。在受保护的树林里,无线传感器网络和神经网络可以探测到电锯和人的声音。我们也提供声源检测。该系统能够分辨30米范围内发出的噪音,探测到180度范围内声音的位置,并通过一跳对跳系统的无线传输协议将其生成的信息传达给当局。提出的机器学习模型的准确率在93%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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