Acoustic sensor-based field efficacy evaluation of three different insecticides—Trunk injections against the red palm weevil, Rhynchophorus ferrugineus

Abdalsalam O. Omer; Hattan. A.  Alharbi; Mureed  Husain; Khawaja G.  Rasool; Waleed S.  Alwaneen; Abdulrahman S.  Aldawood

doi:10.59400/sv1787

Acoustic sensor-based field efficacy evaluation of three different insecticides—Trunk injections against the red palm weevil, Rhynchophorus ferrugineus

Abdalsalam O. Omer Department of Plant Protection, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia
Hattan. A. Alharbi Department of Plant Protection, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia
Mureed Husain Department of Plant Protection, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia
Khawaja G. Rasool Department of Plant Protection, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia
Waleed S. Alwaneen Advanced Agricultural & Food Technology Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh 11442, Saudi Arabia
Abdulrahman S. Aldawood Department of Plant Protection, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia

Article ID: 1787

7 Views, 3 PDF Downloads

DOI: https://doi.org/10.59400/sv1787

Keywords: detection; insecticides; acoustic sensor; RPW sound signal; Thiamethoxam; Imidacloprid; Fipronil; palm

Abstract

Red palm weevil (RPW) is one of the major pests that has caused significant losses in date palm production worldwide in recent years. Effective management of RPW is important to minimizing its impact on date palm yields. Conventional techniques utilized to manage RPW have shown minimal effectiveness. The study aimed to evaluate the efficacy of the insecticides Fipronil, Imidacloprid, and Thiamethoxam against RPW by applying a trunk injection technique in naturally infested date palm fields. Additionally, the study monitored the efficacy of the insecticides for ten months post-treatment using an acoustic sensor. After treatment with Fipronil, Imidacloprid, and Thiamethoxam, the mean burst rate impulses from RPW sound activities inside the date palm trunk was reduced, confirming the gradually mortality of RPW. The RPW impulse burst rate was decreased within 1–2 months post-treatment with these insecticides, while it increased in the control treatment. The results reveal that Fipronil reduced the RPW impulse burst rate from 0.50/s on day 0 to 0.07/s after 50 days post-treatment. In comparison, Imidacloprid reduced the RPW impulse burst rate to 0.07/s after 70 days post-treatment, which indicates a low level of infestation. Similarly, Thiamethoxam reduced the impulse burst rate from 0.97/s on day 0 to 0.08/s after 70 days of treatment. After 4 months of insecticide treatments, the RPW impulse burst rate dropped to zero which indicates the complete cessation of the RPW sound activities. The results suggest that a balloon injector may aid in delivering insecticides directly into the date palm trees, reaching the target more effectively. Furthermore, the acoustic sensor proved to be an effective tool for detecting and monitoring RPW activities in date palms.

References

[1]Ávalos J, Martí-Campoy A, Soto A. Study of the flying ability of Rhynchophorus ferrugineus (Coleoptera: Dryophthoridae) adults using a computer-monitored flight mill. Bulletin of entomological research. 2014; 104(4): 462–70.

[2]Abraham VA, Al-Shuaibi M, Faleiro JR, et al. An integrated approach for the management of red palm weevil Rhynchophorus ferrugineus Oliv—A key pest of date palm in the Middle East. Sultan Qaboos University Journal for Scientiﬁc Research, Agricultural Science. 1998; 3: 77–83.

[3]Aziz AT. Red palm weevil, Rhynchophorus ferrugineus, a significant threat to date palm tree, global invasions, consequences, and management techniques. Journal of Plant Diseases and Protection. 2024; 131(1): 9–26.

[4]Balijepalli SB, Faleiro J. Is policy paralysis on quarantine issues in the Near East and North Africa region leading to the buildup and spread of red palm weevil, Rhynchophorus ferrugineus? Arab Journal of Plant Protection. 2019; 37(2).

[5]Picard C, Afonso T, Benko‐Beloglavec A, et al. Recommended regulated non‐quarantine pests (RNQP s), associated thresholds and risk management measures in the European and Mediterranean region. EPPO Bulletin. 2018; 48(3): 552–568.

[6]Rochat D, Chapin É, Ferry M, et al. In the Mediterranean basin (French). Phytoma-Plant Protection. 2006; 595: 20.

[7]Faleiro J. A review of the issues and management of the red palm weevil Rhynchophorus ferrugineus (Coleoptera: Rhynchophoridae) in coconut and date palm during the last one hundred years. International journal of tropical Insect Science. 2006; 26(3): 135–154.

[8]Azam K, Razvi S. Control of red palm weevil, Rhynchophorus ferrugineus Oliver, using prophylactic spraying of date palms and trunk injection. In: Proceedings of the 2nd Int Conf Date Palms; AI-Ain, UAE.

[9]Dembilio Ó, Jaques JA. Bio-ecology and integrated management of the red palm weevil, Rhynchophorus ferrugineus (Coleoptera: Curculionidae), in the region of Valencia (Spain). Hellenic Plant Protection Journal. 2012; 5: 1–12.

[10]Rasool KG, Husain M, Salman S, et al. Toxicity and field efficacy of emamectin benzoate (ARETOR) against red palm weevil, by using Syngenta tree micro-injection technique. Intl J Agric Biol. 2021; 25.

[11]Kaakeh W. Toxicity of imidacloprid to developmental stages of Rhynchophorus ferrugineus (Curculionidae: Coleoptera): Laboratory and field tests. Crop Protection. 2006; 25(5): 432–439.

[12]Archer L, Crane JH, Albrecht U. Trunk injection as a tool to deliver plant protection materials—An overview of basic principles and practical considerations. Horticulturae. 2022; 8(6): 552.

[13]Gutiérrez A, Ruiz V, Moltó E, et al. Development of a bioacoustic sensor for the early detection of Red Palm Weevil (Rhynchophorus ferrugineus Olivier). Crop Protection. 2010; 29(7): 671–676.

[14]Jalinas J, Erri-Agullo BG, Mankin RW, et al. Acoustic Assessment of Beauveria bassiana (Hypocreales: Clavicipitaceae) Effects on Rhynchophorus ferrugineus (Coleoptera: Dryophthoridae) Larval Activity and Mortality. Journal of Economic Entomology. 2015; 108(2): 444–453.

[15]Boulila W, Alzahem A, Koubaa A, Benjdira B, Ammar A. Early detection of red palm weevil infestations using deep learning classification of acoustic signals. Computers and Electronics in Agriculture. 2023; 1 (212):108154.

[16]Khudri NAFRS, Mohd Masri MM, Maidin MST, et al. Preliminary evaluation of acoustic sensors for early detection of red palm weevil, Rhynchophorus ferrugineus incidence on oil palm and coconut in Malaysia. International Journal of Tropical Insect Science. 2021; 41(4): 3287–3292.

[17]Torky M, Dahy G, Hassanien AE. Recognizing sounds of Red Palm Weevils (RPW) based on the VGGish model: Transfer learning methodology. Computers and Electronics in Agriculture. 2023 Sep 1; 212:108079.

[18]Ashry I, Wang B, Mao Y, Sait M, Guo Y, Al-Fehaid Y, Al-Shawaf A, Ng TK, Ooi BS. CNN–aided optical fiber distributed acoustic sensing for early detection of red palm weevil: A field experiment. Sensors. 2022; 22(17):6491.

[19]Mankin R, Mizrach A, Hetzroni A, et al. Temporal and spectral features of sounds of wood-boring beetle larvae: Identifiable patterns of activity enable improved discrimination from background noise. Florida Entomologist. 2008; 91(2): 241–248.

[20]Dosunmu OG, Herrick NJ, Haseeb M, et al. Acoustic detectability of Rhynchophorus cruentatus (Coleoptera: Dryophthoridae). Florida Entomologist. 2014; 97(2): 431–438.

[21]Herrick NJ, Mankin R. Acoustical detection of early instar Rhynchophorus ferrugineus (Coleoptera: Curculionidae) in Canary Island date palm, Phoenix canariensis (Arecales: Arecaceae). Florida Entomologist. 2012; 95(4): 983–990.

[22]Jalinas J, Güerri-Agulló B, Dosunmu OG, et al. Acoustic signal applications in detection and management of Rhynchophorus spp. in fruit-crops and ornamental palms. Florida Entomologist. 2019; 102(3): 475–479.

[23]Tomlin C. The Pesticide Manual: A World Compendium, 14th ed. British Crop Protection Council; 2006.

[24]Wypych G, Wypych A. Databook of Preservatives. Elsevier; 2015.

[25]Chihaoui-Meridja S, Harbi A, Abbes K, et al. Systematicity, persistence and efficacy of selected insecticides used in endotherapy to control the red palm weevil Rhynchophorus ferrugineus (Olivier, 1790) on Phoenix canariensis. Phytoparasitica. 2020; 48(1): 75–85.

[26]Potamitis I, Rigakis I, Tatlas N-A, Potirakis S. In-vivo vibroacoustic surveillance of trees in the context of the IoT. Sensors. 2019; 19(6): 1366.

[27]Mankin R, Al-Ayedh H, Aldryhim Y, Rohde B. Acoustic detection of Rhynchophorus ferrugineus (Coleoptera: Dryophthoridae) and Oryctes elegans (Coleoptera: Scarabaeidae) in Phoenix dactylifera (Arecales: Arecacae) trees and offshoots in Saudi Arabian orchards. Journal of economic entomology. 2016; 109(2): 622–628.

[28]Charif R, Waack A, Strickman L. Raven Pro 1.4 user’s manual. Cornell lab of ornithology, Ithaca, NY. 2010; 25506974.

[29]SAS. Guide SUs. Software (Released 9.1.2). SAS Institute Inc; 2004.

[30]Mankin R, Jetter E, Rohde B, Yasir M. Performance of a low-cost acoustic insect detector system with Sitophilus oryzae (Coleoptera: Curculionidae) in stored grain and Tribolium castaneum (Coleoptera: Tenebrionidae) in flour. Journal of Economic Entomology. 2020; 113(6): 3004–3010.

[31]Sutanto KD, Al-Shahwan IM, Husain M, et al. Field Evaluation of Promising Indigenous Entomopathogenic Fungal Isolates against Red Palm Weevil, Rhynchophorus ferrugineus (Coleoptera: Dryophthoridae). Journal of Fungi. 2023; 9(1): 68.

[32]Sutanto KD, Husain M, Rasool KG, et al. Acoustic Comparisons of Red Palm Weevil (Rhynchophorus ferrugineus) Mortality in Naturally Infested Date Palms after Injection with Entomopathogenic Fungi or Nematodes, Aluminum Phosphide Fumigation, or Insecticidal Spray Treatments. Insects. 2023; 14(4): 339.

[33]Rach MM, Gomis HM, Granado OL, Malumbres MP. On the design of a bioacoustic sensor for the early detection of the red palm weevil. Sensors. 2013; 13: 1706–1729.

[34]Kadyrov D, Sutin A, Sedunov N, Sedunov A, Salloum H. Vibro-Acoustic Signatures of Various Insects in Stored Products. Sensors. 2024;24(20):6736.

[35]Balingbing CB, Kirchner S, Siebald H, Kaufmann HH, Gummert M, Van Hung N, Hensel O. Application of a multi-layer convolutional neural network model to classify major insect pests in stored rice detected by an acoustic device. Computers and Electronics in Agriculture. 2024; 225:109297.

[36]EL-Sebaey Y. Field Evaluation of certain insecticides against red palms weevil Rhynchophorus ferrugineus Oliv. (Coleoptera; Curculionidae) in Egypt. Egyptian Journal of Agricultural Research. 2004; 82(4): 1591–1598.

[37]Hernández-Marante D, Folk F, Sánchez A, Fernandez-Escobar R. Control of the palm ferruginous curculionid (Rhynchophorus ferrugineus Olivier) by trunk injections and foliar spraying (Spanish). Bol San Veg Pests. 2003; 29(4): 563–574.

[38]Saleh A, Ibrahim O, Hassanein S, Hussein K. An approach to chemical control of the red palm weevil, Rhynchophorus ferrugineus (Olivier) on the date palm in Sharkia and Ismailia Governorates. Egypt Egypt J of App Sci. 1996; 11(4): 250–260.

Published

2024-12-19

How to Cite

Omer, A. O., Alharbi, H. A., Husain, M., Rasool, K. G., Alwaneen, W. S., & Aldawood, A. S. (2024). Acoustic sensor-based field efficacy evaluation of three different insecticides—Trunk injections against the red palm weevil, Rhynchophorus ferrugineus. Sound & Vibration, 59(1), 1787. https://doi.org/10.59400/sv1787

Download Citation

Issue

Vol. 59 No. 1 (2025)

Section

Articles

This work is licensed under a Creative Commons Attribution 4.0 International License.

Editor-in-Chief

Prof. Jun Yang

Institute of Acoustics, Chinese Academy of Sciences, China

ISSN

1541 - 0161 (Print)

2693 - 1443 (Online)

Publication Frequency

Continuously

About the Publisher

Academic Publishing insists on taking academic exchange and publication as the main line, carrying out comprehensive management based on science and technology, and fully exploring excellent international publishing resources. Within 5 years, it will form a strategic framework and scale with science (S), technology (T), medicine (M), education (E), and humanities and arts (H) as the main publishing fields. Academic Publishing is headquartered in Singapore and based in Malaysia, with the United States and China providing the main scientific and academic resources. At the same time, it has established long-term good cooperative relations with other publishing companies, scientific research communities, and academic organizations in more than a dozen countries and regions. Academic Publishing uses English and Chinese as its main publishing languages, mainly publishing books, journals, and conference papers in print and online. The vast majority of publications follow the international open access policy, providing stable and long-term quality and professional publications. With the joint efforts of the expert team and our professional editorial team, our publications will gradually be indexed by international databases in stages to provide convenient and professional retrieval for various scholars. At the same time, manuscripts we accept will be subject to the peer review principle, and cutting-edge and innovative research articles will be preferentially accepted for peer reference and discussion. All kinds of our publications are welcome for peer to contribute, access, and download.

more

Volume Arrangement

Vol 59 Iss 1 (2025)

more issues

Featured Articles

Soundscapes in Arab Cities: A Systematic Review and Research Agenda

In the context of Arab cities, this study explores the intricate interplay between cultural, historical, and environmental elements that shape their unique soundscapes. The paper aims to shed light on this underrepresented field of study by employing a three-fold research approach: systematic review, a comprehensive literature review, and the formulation of a future research agenda. The first part of the investigation focuses on research productivity in the Arab world regarding soundscape studies. An analysis of publication trends reveals that soundscape research in Arab cities is still an emerging area of interest. Critical gaps in the existing body of literature are identified, highlighting the importance of addressing these gaps within the broader context of global soundscape research. The second part of the study delves into the distinctive features that inform the soundscapes of Arab cities. These features are categorized into three overarching groups: (i) cultural and religious life, (ii) daily life, and (iii) heritage and history, by exploring these factors, the study aims to elucidate the multifaceted nature of Arab urban soundscapes. From the resonating calls to prayer and the vibrant ambiance of traditional cafes to the bustling markets and architectural characteristics, each factor contributes to the auditory tapestry that defines Arab cities. The paper concludes with a forward-looking research agenda, proposing sixteen key questions organized into descriptive and comparative categories. These questions emphasize the need for a more profound understanding of sound perception, sources, and the impact of urban morphology on the soundscape. Additionally, they highlight the need for interdisciplinary research, involving fields such as urban planning, architecture, psychology, sociology, and cultural studies to unravel the complexity of Arab urban soundscapes.

Prediction of Sound Transmission Loss of Vehicle Floor System Based on 1D-Convolutional Neural Networks

The Noise, Vibration, and Harshness (NVH) experience during driving is significantly influenced by the sound insulation performance of the car floor acoustic package. As such, accurate and efficient predictions of its sound insulation performance are crucial for optimizing related noise reduction designs. However, the complex acoustic transmission mechanisms and difficulties in characterizing the sound absorption and insulation properties of the floor acoustic package pose significant challenges to traditional Computer-Aided Engineering (CAE) methods, leading to low modeling efficiency and prediction accuracy. To address these limitations, a hierarchical multi-objective decomposition system for predicting the sound insulation performance of the floor acoustic package has been developed based on an analysis of the noise transmission path. This approach involves introducing a 1D-Convolutional Neural Network (1D-CNN) model for predicting the sound insulation performance of the floor acoustic package, thereby avoiding the limitations of conventional CAE approaches that rely solely on “data-driven” methods. The proposed method was applied and tested using specific vehicle models, and the results demonstrated the effectiveness and superiority of the proposed approach relative to those obtained using 2D-CNN and Support Vector Regression (SVR) models.

A Sound Quality Evaluation Method for Vehicle Interior Noise Based on Auditory Loudness Model

When designing and optimizing the hull of vehicles, their sound quality needs to be considered, which greatly depends on the psychoacoustic parameters. However, the traditional psychoacoustic calculation method does not consider the influence of the real human ear anatomic structure, even the loudness which is most related to the auditory periphery. In order to introduce the real physiological structure of the human ear into the evaluation of vehicle sound quality, this paper first carried out the vehicle internal noise test to obtain the experimental samples. Then, the physiological loudness was predicted based on an established human ear physiological model, and the noise evaluation vector was constructed by combining the remaining four psychoacoustic parameters. Finally, the evaluation vector was fitted into the subjective evaluation results of vehicle interior noise by a deep neural network. The results show that our proposed method can estimate the human subjective perception of vehicle interior noise well.

Prediction and Analysis of Vehicle Interior Road Noise Based on Mechanism and Data Series Modeling

Currently, the inexorable trend toward the electrification of automobiles has heightened the prominence of road noise within overall vehicle noise. Consequently, an in-depth investigation into automobile road noise holds substantial practical importance. Previous research endeavors have predominantly centered on the formulation of mechanism models and data-driven models. While mechanism models offer robust controllability, their application encounters challenges in intricate analyses of vehicle body acoustic-vibration coupling, and the effective utilization of accumulated data remains elusive. In contrast, data-driven models exhibit efficient modeling capabilities and can assimilate conceptual vehicle knowledge, but they impose stringent requirements on both data quality and quantity. In response to these considerations, this paper introduces an innovative approach for predicting vehicle road noise by integrating mechanism-driven and data-driven methodologies. Specifically, a series model is devised, amalgamating mechanism analysis with data-driven techniques to predict vehicle interior noise. The simulation results from dynamic models serve as inputs to the data-driven model, ultimately generating outputs through the utilization of the Long Short-Term Memory with Autoencoder (AE-LSTM) architecture. The study subsequently undertakes a comparative analysis between different dynamic models and data-driven models, thereby validating the efficacy of the proposed series vehicle road noise prediction model. This series model, encapsulating the rigid-flexible coupling dynamic model and AE-LSTM series model, not only demonstrates heightened computational efficiency but also attains superior prediction accuracy.