Plants respond and adapt to changes in their surroundings through various mechanisms,including chemical signals like volatile organic compounds and mechanical signals,producing acoustic signals. Advances in acoustic sensing technologies have increasinglyrevealed the potential for using sound-based methods to monitor and assess plant health.This work synthesizes the current state of the art in plant acoustics research, highlightinghow ultrasonic and audible signals emitted by plants can serve as valuable indicators ofphysiological status. It further explores data-processing methods, including machinelearning and signal analysis, that transform raw acoustic data into actionable insights. Thereview concludes by identifying key technical and conceptual challenges, including theneed for standardized monitoring protocols, robust sensor networks, and improvedinterpretations of acoustic signatures under varied environmental conditions.
Vande Velde, J, da Silva, B, Touhafi, A & Segers, L 2025, Plant Health Monitoring using Acoustics. in Forum Acusticum: EuroNoise 2025. pp. 4427-4434, Proceedings of the 11th Convention of the
European Acoustics Association
Forum Acusticum / EuroNoise 2025, Malaga, Spain, 23/06/25. https://doi.org/10.61782/fa.2025.0682
Vande Velde, J., da Silva, B., Touhafi, A., & Segers, L. (2025). Plant Health Monitoring using Acoustics. In Forum Acusticum: EuroNoise 2025 (pp. 4427-4434) https://doi.org/10.61782/fa.2025.0682
@inproceedings{02e6741e597e43b3b83f9d202eb0fc21,
title = "Plant Health Monitoring using Acoustics",
abstract = "Plants respond and adapt to changes in their surroundings through various mechanisms,including chemical signals like volatile organic compounds and mechanical signals,producing acoustic signals. Advances in acoustic sensing technologies have increasinglyrevealed the potential for using sound-based methods to monitor and assess plant health.This work synthesizes the current state of the art in plant acoustics research, highlightinghow ultrasonic and audible signals emitted by plants can serve as valuable indicators ofphysiological status. It further explores data-processing methods, including machinelearning and signal analysis, that transform raw acoustic data into actionable insights. Thereview concludes by identifying key technical and conceptual challenges, including theneed for standardized monitoring protocols, robust sensor networks, and improvedinterpretations of acoustic signatures under varied environmental conditions.",
author = "{Vande Velde}, Jerome and {da Silva}, Bruno and Abdellah Touhafi and Laurent Segers",
year = "2025",
month = jun,
day = "24",
doi = "10.61782/fa.2025.0682",
language = "English",
pages = "4427--4434",
booktitle = "Forum Acusticum",
note = "Proceedings of the 11th Convention of the<br/>European Acoustics Association<br/>Forum Acusticum / EuroNoise 2025 ; Conference date: 23-06-2025 Through 26-06-2025",
}