Application of Near Infrared Spectroscopy to Detect Infestation of Sweet Potato Weevil (Cylas formicarius) in Purple Sweet Potatoes (Ipomoea batatas (L.) Lam.)
DOI:
https://doi.org/10.14456/jare-mju.2025.30Keywords:
Non-destructive detection, chemometrics, purple sweet potatoes, sweet potato weevilAbstract
This research aimed to detect the infestation of sweet potato weevils (Cylas formicarius) of purple sweet potatoes after harvesting using near infrared (NIR) spectroscopy. The purple sweet potatoes were obtained from Pangda Royal Agricultural Station with a total of 171 purple sweet potato tubers composed of 86 normal and 85 weevil infested tubers. An NIR spectrometer was used to measure the spectrum at six points on each tuber. Before dividing the spectra of the samples into calibration and validation sets, six points spectra were averaged. All spectral data were analyzed using Principal Component Analysis (PCA) to investigate the data’s variability. Partial Least Squares Discriminant Analysis (PLS-DA) was then employed to analyze and classify the spectral data of normal and infested tubers. The results showed that the PCA technique was unable to effectively demonstrate the variability in the spectral data obtained from the two sample groups. However, the NIR spectra preprocessed by the second derivative method and the PLS-DA technique were able to detect the sweet potato weevil infestation with an accuracy of 92.94%. The important wavelengths for verification were 1,395 and 1,878– 1,945 nm. As a result, NIRS and the PLS-DA model have the potential to be used to investigate the infestation of the sweet potato weevil in purple sweet potatoes.
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