Towards Detecting Red Palm Weevil Using Machine Learning and Fiber Optic Distributed Acoustic Sensing
Red palm weevil (RPW) is a detrimental pest, which has wiped out many palm tree farms worldwide. Early detection of RPW is challenging, especially in large-scale farms. Here, we introduce the combination of machine learning and fiber optic distributed acoustic sensing (DAS) techniques as a solution...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/5/1592 |
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| author | Biwei Wang Yuan Mao Islam Ashry Yousef Al-Fehaid Abdulmoneim Al-Shawaf Tien Khee Ng Changyuan Yu Boon S. Ooi |
| author_facet | Biwei Wang Yuan Mao Islam Ashry Yousef Al-Fehaid Abdulmoneim Al-Shawaf Tien Khee Ng Changyuan Yu Boon S. Ooi |
| author_sort | Biwei Wang |
| collection | DOAJ |
| description | Red palm weevil (RPW) is a detrimental pest, which has wiped out many palm tree farms worldwide. Early detection of RPW is challenging, especially in large-scale farms. Here, we introduce the combination of machine learning and fiber optic distributed acoustic sensing (DAS) techniques as a solution for the early detection of RPW in vast farms. Within the laboratory environment, we reconstructed the conditions of a farm that includes an infested tree with ∼12 day old weevil larvae and another healthy tree. Meanwhile, some noise sources are introduced, including wind and bird sounds around the trees. After training with the experimental time- and frequency-domain data provided by the fiber optic DAS system, a fully-connected artificial neural network (ANN) and a convolutional neural network (CNN) can efficiently recognize the healthy and infested trees with high classification accuracy values (99.9% by ANN with temporal data and 99.7% by CNN with spectral data, in reasonable noise conditions). This work paves the way for deploying the high efficiency and cost-effective fiber optic DAS to monitor RPW in open-air and large-scale farms containing thousands of trees. |
| first_indexed | 2024-03-09T00:33:58Z |
| format | Article |
| id | doaj.art-d1de5520ce1c4745925be08c5acdee7e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T00:33:58Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d1de5520ce1c4745925be08c5acdee7e2023-12-11T18:21:14ZengMDPI AGSensors1424-82202021-02-01215159210.3390/s21051592Towards Detecting Red Palm Weevil Using Machine Learning and Fiber Optic Distributed Acoustic SensingBiwei Wang0Yuan Mao1Islam Ashry2Yousef Al-Fehaid3Abdulmoneim Al-Shawaf4Tien Khee Ng5Changyuan Yu6Boon S. Ooi7Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi ArabiaComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi ArabiaComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi ArabiaCenter of Date Palms and Dates, Ministry of Environment, Water and Agriculture, Al-Hassa 31982, Saudi ArabiaCenter of Date Palms and Dates, Ministry of Environment, Water and Agriculture, Al-Hassa 31982, Saudi ArabiaComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi ArabiaDepartment of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, ChinaComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi ArabiaRed palm weevil (RPW) is a detrimental pest, which has wiped out many palm tree farms worldwide. Early detection of RPW is challenging, especially in large-scale farms. Here, we introduce the combination of machine learning and fiber optic distributed acoustic sensing (DAS) techniques as a solution for the early detection of RPW in vast farms. Within the laboratory environment, we reconstructed the conditions of a farm that includes an infested tree with ∼12 day old weevil larvae and another healthy tree. Meanwhile, some noise sources are introduced, including wind and bird sounds around the trees. After training with the experimental time- and frequency-domain data provided by the fiber optic DAS system, a fully-connected artificial neural network (ANN) and a convolutional neural network (CNN) can efficiently recognize the healthy and infested trees with high classification accuracy values (99.9% by ANN with temporal data and 99.7% by CNN with spectral data, in reasonable noise conditions). This work paves the way for deploying the high efficiency and cost-effective fiber optic DAS to monitor RPW in open-air and large-scale farms containing thousands of trees.https://www.mdpi.com/1424-8220/21/5/1592red palm weevilfiber optic acoustic sensingmachine learning |
| spellingShingle | Biwei Wang Yuan Mao Islam Ashry Yousef Al-Fehaid Abdulmoneim Al-Shawaf Tien Khee Ng Changyuan Yu Boon S. Ooi Towards Detecting Red Palm Weevil Using Machine Learning and Fiber Optic Distributed Acoustic Sensing Sensors red palm weevil fiber optic acoustic sensing machine learning |
| title | Towards Detecting Red Palm Weevil Using Machine Learning and Fiber Optic Distributed Acoustic Sensing |
| title_full | Towards Detecting Red Palm Weevil Using Machine Learning and Fiber Optic Distributed Acoustic Sensing |
| title_fullStr | Towards Detecting Red Palm Weevil Using Machine Learning and Fiber Optic Distributed Acoustic Sensing |
| title_full_unstemmed | Towards Detecting Red Palm Weevil Using Machine Learning and Fiber Optic Distributed Acoustic Sensing |
| title_short | Towards Detecting Red Palm Weevil Using Machine Learning and Fiber Optic Distributed Acoustic Sensing |
| title_sort | towards detecting red palm weevil using machine learning and fiber optic distributed acoustic sensing |
| topic | red palm weevil fiber optic acoustic sensing machine learning |
| url | https://www.mdpi.com/1424-8220/21/5/1592 |
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