"RPW Acoustic Data"

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Authors: Betty Martin
Cited by: 0

Abstract

"Early stage monitoring of Red Palm Weevil (RPW) activity in palms is essential to prevent severe structural damage and economic losses in palm cultivation. Unlike conventional inspection methods, acoustic-based detection offers a non-invasive solution but is challenged by background noise and subtle signal variations. The proposed work uses an adaptive statistical signal processing framework for RPW detection.The method integrated i) adaptive sliding window segmentation with overlapping analysis to capture temporal variations, ii) RMS and auto-correlation descriptors combined with spectra-temporal features from a Short-Time Fourier Transform (STFT) and iii) Statistical validation using a two sample t-test to confirm significant differences (p

Fields of Study & Subjects

Music and Audio Processing Smart Agriculture and AI Machine Fault Diagnosis Techniques

Publication details

Journal / source
IEEE DataPort
Publication date
13 January 2026
Document type
Dataset