TY - GEN
T1 - Monitoring the Red Palm Weevil Infestation Using Machine Learning and Optical Sensing
AU - Mao, Yuan
AU - Ashry, Islam
AU - Wang, Biwei
AU - Al-Fehaid, Yousef
AU - Al-Shawaf, Abdulmoneim
AU - Ng, Tien Khee
AU - Yu, Changyuan
AU - Ooi, Boon S.
N1 - Funding Information:
In summary, we employed a CNN model and a fiber optic DAS to distinguish an infested tree with RPW and a healthy tree. Within the laboratory, we reconstructed a farm’s environment that included infested/healthy tree and other acoustic noise sources (wind and bird sounds). The CNN model performs perfectly with the time-domain data to offer a 99.3% classification accuracy, without the need to preprocess the data with spectral filters. This work paves the way to deploy the fiber optic DAS for the early detection of RPW in open-air and vast farms. Acknowledgements: We acknowledge the financial support provided to this work by KAUST-Research Translation Funding (REI/1/4247-01-01).
Publisher Copyright:
© 2021 OSA.
PY - 2021/6
Y1 - 2021/6
N2 - Red palm weevil (RPW) is a major pest of palm trees, which has destroyed many farms and caused significant economic losses worldwide. It is difficult to detect the RPW infestation in its early stage, especially in vast farms. Here, we introduce combining machine learning and fiber optic distributed acoustic sensing (DAS) as a solution for detecting the RPW in the larvae stage. A single fiber optic cable would possibly monitor hundreds of trees, simultaneously.
AB - Red palm weevil (RPW) is a major pest of palm trees, which has destroyed many farms and caused significant economic losses worldwide. It is difficult to detect the RPW infestation in its early stage, especially in vast farms. Here, we introduce combining machine learning and fiber optic distributed acoustic sensing (DAS) as a solution for detecting the RPW in the larvae stage. A single fiber optic cable would possibly monitor hundreds of trees, simultaneously.
M3 - Conference article published in proceeding or book
AN - SCOPUS:85112072066
T3 - 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings
BT - 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021
Y2 - 6 June 2021 through 11 June 2021
ER -