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All Journal Jurnal Keteknikan Pertanian Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)
Andasuryani Andasuryani
Andalas University
Agriculture, Biological Sciences & Forestry Engineering

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Portable Vis–NIR Spectroscopy Using AS7265X for Detecting Carbide-Ripened Cavendish Bananas Nurul Hanisah; Ifmalinda Ifmalinda; Andasuryani Andasuryani
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.543-553

Abstract

Cavendish banana (Musa acuminata Cavendish) is one of the horticultural crops whose ripening is often accelerated using calcium carbide (CaC₂), which is harmful to health, thus requiring a scientific method to distinguish natural and artificial ripening. This study aimed to examine the potential of Visible–Near Infrared (Vis-NIR) spectroscopy using the AS7265X multispectral sensor, operating at 410–940 nm, which is portable and more affordable than a laboratory spectrophotometer. A total of 120 samples were used, consisting of 90 unripe (stage 2) and 30 naturally ripened (stage 6) bananas. Linear Discriminant Analysis (LDA) was employed to classify the spectral data, achieving a classification accuracy of 100%. The Vis-NIR spectral patterns showed apparent differences among treatments. Unripe bananas had high reflectance in the blue–green region, while tree-ripened bananas showed increased reflectance in the red and NIR regions. The 64 g/kg carbide treatment yielded a spectral pattern resembling natural ripening, whereas the single lump carbide treatment showed lower reflectance values across most wavelengths. These findings confirmed the potential of the AS7265X sensor to efficiently and non-destructively distinguish between natural and artificial ripening. Practically, this suggests that low-cost, portable sensors can be effectively deployed for real-time field inspection and quality control within the fruit supply chain. Future study need to validate the method using larger and independent datasets.
Application NIR Spectroscopy for Prediction Soluble Solids Content and Classification of Tomatoes During Storage Andasuryani Andasuryani; Raisal Maulana; Dinah Cherie
Jurnal Keteknikan Pertanian Vol. 13 No. 4 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.4.653-666

Abstract

Tomatoes are a horticultural commodity that is highly susceptible to quality degradation after harvest; therefore, appropriate postharvest handling is required to maintain quality. This study aims to evaluate the potential of near-infrared (NIR) spectroscopy for assessing tomato quality by applying partial least squares (PLS) to predict soluble solids content (SSC) and linear discriminant analysis (LDA) for classification based on storage temperature and ripeness level, with SNV pretreatment. Tomato samples were stored at 10 °C and 28 °C and observed at the breaker and pink ripeness stages. The best PLS model was obtained with SNV pretreatment and 10 latent variables, yielding R² calibration = 0.89, RMSEC = 0.19°Brix, R² prediction = 0.80, and RMSEP = 0.26 °Brix. The RPD value of 2.04 and the RER of 8.08 indicate that the model has a good predictive ability for evaluating tomato SSC. Meanwhile, LDA distinguished storage temperature better (accuracy 89.13%) than ripeness level (accuracy 65.21%). These results demonstrate that NIR spectroscopy can be used as an effective nondestructive method for analyzing the SSC of tomatoes during storage, reflecting the levels of sugars, organic acids, and other soluble compounds that contribute to the taste and overall fruit quality. Keywords: NIR Spectroscopy, Soluble Solids Content, Storage Temperature, Ripeness Level, Tomato.
Co-Authors Cherie Dinah, Cherie Ifmalinda Nurul Hanisah Raisal Maulana