"RPW Acoustic Data"
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