H. Bandaranayake, D.M.M.Y.P. Mahamohottala, W. Wijekoon, K.M.V.T. Sandakelum, N. Gamage, Windhya Rankothge
{"title":"GreenSoal:Illegal Tree Logging Detection System Using IOT","authors":"H. Bandaranayake, D.M.M.Y.P. Mahamohottala, W. Wijekoon, K.M.V.T. Sandakelum, N. Gamage, Windhya Rankothge","doi":"10.1109/ICISS55894.2022.9915139","DOIUrl":null,"url":null,"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.","PeriodicalId":125054,"journal":{"name":"2022 International Conference on ICT for Smart Society (ICISS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on ICT for Smart Society (ICISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISS55894.2022.9915139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.