Signal processing detection of acoustic emissions produced by the red date palm weevil

Al-Manie, Mohammed A.; Alkanhal, Mohamed; Al-Ayedh, Hassan; Al-Zaid, H.M.

doi:10.1109/asense.2003.1225032

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…Several studies have confirmed the efficacy of various isolates of EPF against different developmental stages of R. ferrugineus [28,61,62,72,83,84]. In the field, larvae due to their cryptic nature [85], are difficult to infect with EPF. Only adults are mobile and able to disperse, remaining alive for a few days after becoming infected [76].…”

Section: Discussionmentioning

confidence: 98%

Efficacy and Persistence of Entomopathogenic Fungi against Rhynchophorus ferrugineus on Date Palm: Host to Host Transmission

Alwaneen,

Wakil,

Kavallieratos

et al. 2024

Agronomy

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The red palm weevil (RPW), Rhynchophorus ferrugineus (Olivier) (Coleoptera: Dryophthoridae), is a destructive and voracious pest of palm species worldwide. Due to environmental and regulatory concerns, ecologically safe alternatives to synthetic chemical insecticides are needed to manage this cryptic insect species. Entomopathogenic fungi have the potential to manage this pest. The scope of management and effectiveness can be improved by direct control or horizontal transmission of entomopathogenic fungal isolates. We tested in the laboratory the virulence and pathogenicity of fifteen different entomopathogenic fungal isolates belonging to the following species: Beauveria bassiana, Metarhizium anisopliae, Beauveria brongniartii and Purpureocillium lilacinum. All fungal isolates were found virulent against larvae (14.9 ± 1.06 to 81.5 ± 1.48% mortality) and adults (5.6 ± 1.12 to 51.7 ± 1.51% mortality) at 12 d post-treatment. From a screening bioassay, five M. anisopliae (WG-08, WG-09) and B. bassiana (WG-23, WG-24, WG-25) isolates were tested for their concentration response mortality against larvae and adults after 7, 14 and 21 days (d) of treatment. Mortality was found positively correlated with concentration and time. At 21 d of treatment, WG-23 and WG-25 1 × 108 conidia/mL resulted in 100% mortality against larvae while only WG-25 1 × 109 conidia/mL caused 100% mortality of adults. Along with mortality, all the potential isolates have strong ovicidal effects that reduced 81.49% at 1 × 108 conidia/mL. The horizontal transmission bioassay indicated that the infected adults transmitted the disease to healthy individuals. Horizontal transmission of fungi from infected to non-infected adults not only caused significant mortality but also had a serious sublethal impact on insect development and fitness including reduced number of eggs/d fecundity, egg viability and neonate survival. Isolate WG-25 reduced oviposition (0.5 eggs/d), fecundity (11.7 eggs/female), egg viability (11.6%) along with larval survival 25.9% when infected male mated with normal female. In semi-field trials, all fungal isolates reduced survival of larvae found inside the palms and ultimately reduced infestations over a period of two months. The results of this study indicate that entomopathogenic fungi should be further tested for sustainable and efficient control of RPW in date palm production systems.

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Section: Discussionmentioning

confidence: 98%

Efficacy and Persistence of Entomopathogenic Fungi against Rhynchophorus ferrugineus on Date Palm: Host to Host Transmission

Alwaneen,

Wakil,

Kavallieratos

et al. 2024

Agronomy

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“…One relatively simple method for controlling and preventing wood-boring pests is to use acoustic technology to detect problems within tree trunks [4,41]. This involves using embedded piezoelectric accelerometers to measure the vibrations of the trunk and capture these vibrations using vibration sensors.…”

Section: Discussionmentioning

confidence: 99%

Multi-Channel Time-Domain Boring-Vibration-Enhancement Method Using RNN Networks

Xu,

Li,

Zhang

2023

Insects

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The larvae of certain wood-boring beetles typically inhabit the interior of trees and feed on the wood, leaving almost no external traces during the early stages of infestation. Acoustic techniques are commonly employed to detect the vibrations produced by these larvae while they feed on wood, significantly increasing detection efficiency compared to traditional methods. However, this method’s accuracy is greatly affected by environmental noise interference. To address the impact of environmental noise, this paper introduces a signal separation system based on a multi-channel attention mechanism. The system utilizes multiple sensors to receive wood-boring vibration signals and employs the attention mechanism to adjust the weights of relevant channels. By utilizing beamforming techniques, the system successfully removes noise from the wood-boring vibration signals and separates the clean wood-boring vibration signals from the noisy ones. The data used in this study were collected from both field and laboratory environments, ensuring the authenticity of the dataset. Experimental results demonstrate that this system can efficiently separate the wood-boring vibration signals from the mixed noisy signals.

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“…Acoustic technology has a long history of supporting insect pest managers with decision tools and providing information difficult to obtain about insect behavior, physiology, abundance, and distribution [9]. Al-Manie et al [10] used an acoustic instrument for early discovery of the presence of a destructive insect pest, commonly known as the Red Date Palm Weevil (RDPW). Fiaboe et al [11] demonstrated successful identification of insect larvae by recording and analyzing the sounds they produce while moving and feeding within trunk sections or fronds in a laboratory setting.…”

Section: Introductionmentioning

confidence: 99%

A CNN-Based Method for Enhancing Boring Vibration with Time-Domain Convolution-Augmented Transformer

Zhang

Cai

et al. 2023

Insects

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Recording vibration signals induced by larvae activity in the trunk has proven to be an efficient method for detecting trunk-boring insects. However, the accuracy of the detection is often limited because the signals collected in real-world environments are heavily disrupted by environmental noises. To deal with this problem, we propose a deep-learning-based model that enhances trunk-boring vibration signals, incorporating an attention mechanism to optimize its performance. The training data utilized in this research consist of the boring vibrations of Agrilus planipennis larvae recorded within trunk sections, as well as various environmental noises that are typical of the natural habitats of trees. We mixed them at different signal-to-noise ratios (SNRs) to simulate the realistically collected sounds. The SNR of the enhanced boring vibrations can reach up to 17.84 dB after being enhanced by our model, and this model can restore the details of the vibration signals remarkably. Consequently, our model’s enhancement procedure led to a significant increase in accuracy for VGG16, a commonly used classification model. All results demonstrate the effectiveness of our approach for enhancing the detection of larvae using boring vibration signals.

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Signal processing detection of acoustic emissions produced by the red date palm weevil

Cited by 6 publications

References 4 publications

Efficacy and Persistence of Entomopathogenic Fungi against Rhynchophorus ferrugineus on Date Palm: Host to Host Transmission

Efficacy and Persistence of Entomopathogenic Fungi against Rhynchophorus ferrugineus on Date Palm: Host to Host Transmission

Multi-Channel Time-Domain Boring-Vibration-Enhancement Method Using RNN Networks

A CNN-Based Method for Enhancing Boring Vibration with Time-Domain Convolution-Augmented Transformer

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