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 / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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 languageEnglish
Title of host publication2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580866
Publication statusPublished - Jun 2021
Event2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - San Francisco, United States
Duration: 6 Jun 202111 Jun 2021

Publication series

Name2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings

Conference

Conference2021 Optical Fiber Communications Conference and Exhibition, OFC 2021
Country/TerritoryUnited States
CitySan Francisco
Period6/06/2111/06/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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