ArticleSensors (Basel, Switzerland)2019
In-Vivo Vibroacoustic Surveillance of Trees in the Context of the IoT.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- A Systematic Review of IoT Solutions for Smart Farming.Sensors (Basel, Switzerland) · 2020Pooled it
- Acoustic Detection of Insects in Stored Products in the Presence of Strong Ambient Noise.Sensors (Basel, Switzerland) · 2026Article
- Blockchain-Empowered H-CPS Architecture for Smart Agriculture.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Impact ofPlant-environment interactions (Hoboken, N.J.) · 2025Article
- Automated Vibroacoustic Monitoring of Trees for Borer Infestation.Sensors (Basel, Switzerland) · 2024Article
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- The Design and Optimization of an Acoustic and Ambient Sensing AIoT Platform for Agricultural Applications.Sensors (Basel, Switzerland) · 2023Article
- Acoustic Comparisons of Red Palm Weevil (Insects · 2023Article
- Field Evaluation of Promising Indigenous Entomopathogenic Fungal Isolates against Red Palm Weevil,Journal of fungi (Basel, Switzerland) · 2023Article
- A Waveform Mapping-Based Approach for Enhancement of Trunk Borers' Vibration Signals Using Deep Learning Model.Insects · 2022Article
- Review
- Automated Applications of Acoustics for Stored Product Insect Detection, Monitoring, and Management.Insects · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
This work introduces a device for long term systematic monitoring of trees against borers. A widely applied way to detect wood-boring insects is to insert a piezoelectric probe with an uncoated waveguide in the tree trunk and listen for locomotion or feeding sounds through headphones. This approach has several shortcomings: (a) frequent manual inspection of trees is costly and impractical to scale to hundreds or thousands of trees, (b) the larvae could be present but inactive during the inspection time and, (c) when the trees are in urban environments the background noise can be significant and can mask the feeble sounds of wood-boring insects even with the use of specialized headphones. We introduce a remotely controlled device that records and wirelessly transmits on a scheduled basis short recordings of the internal vibrations of a tree to a server. The user can listen remotely or process the recording automatically to infer the infestation state of the tree with wood-boring insects that feed or move inside the tree. When integrated within the IoT framework this device can scale up to automatically monitoring the trees of the entire city. The proposed approach led to detection results in field trials of the pests
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.