Monitoring the Red Palm Weevil Infestation Using Machine Learning and Optical Sensing

Yuan Mao; Islam Ashry; Biwei Wang; Yousef Al-Fehaid; Abdulmoneim Al-Shawaf; Tien Khee Ng; Changyuan Yu; Boon S. Ooi

Monitoring the Red Palm Weevil Infestation Using Machine Learning and Optical Sensing

Yuan Mao, Islam Ashry, Biwei Wang, Yousef Al-Fehaid, Abdulmoneim Al-Shawaf, Tien Khee Ng, Changyuan Yu, Boon S. Ooi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English (US)
Title of host publication	2021 Optical Fiber Communications Conference and Exhibition (OFC)
Publisher	IEEE
ISBN (Print)	978-1-6654-2938-2
State	Published - 2021

Cite this

@inproceedings{05350705663f4e3ba9d709bac0c2feff,

title = "Monitoring the Red Palm Weevil Infestation Using Machine Learning and Optical Sensing",

abstract = "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.",

author = "Yuan Mao and Islam Ashry and Biwei Wang and Yousef Al-Fehaid and Abdulmoneim Al-Shawaf and Ng, {Tien Khee} and Changyuan Yu and Ooi, {Boon S.}",

note = "KAUST Repository Item: Exported on 2021-08-05 Acknowledged KAUST grant number(s): REI/1/4247-01-01 Acknowledgements: We acknowledge the financial support provided to this work by KAUST-Research Translation Funding (REI/1/4247-01-01).",

year = "2021",

language = "English (US)",

isbn = "978-1-6654-2938-2",

booktitle = "2021 Optical Fiber Communications Conference and Exhibition (OFC)",

publisher = "IEEE",

}

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 - KAUST Repository Item: Exported on 2021-08-05 Acknowledged KAUST grant number(s): REI/1/4247-01-01 Acknowledgements: We acknowledge the financial support provided to this work by KAUST-Research Translation Funding (REI/1/4247-01-01).

PY - 2021

Y1 - 2021

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.

UR - http://hdl.handle.net/10754/670420

UR - https://ieeexplore.ieee.org/document/9489709/

M3 - Conference contribution

SN - 978-1-6654-2938-2

BT - 2021 Optical Fiber Communications Conference and Exhibition (OFC)

PB - IEEE

ER -

Monitoring the Red Palm Weevil Infestation Using Machine Learning and Optical Sensing

Abstract

Other files and links

Fingerprint

Cite this