Author

S. Sabzi

3 papers indexed here

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Sep 2026

Property-dependent predictive performance of linear and nonlinear models in NIR-based monitoring of apple maturity

Abstract This study aimed to evaluate the capability of near-infrared (NIR) spectroscopy combined with multivariate regression algorithms to predict physicochemical properties and characterize ripening-stage progression of Fuji apple. Spectral preprocessing included SNV and smoothing, and three regression algorithms (P...

S. Sabzi, Mohsen Azadbakht, Mohammad Vahedi Torshizi et al. · International Journal of Foo... · 0 citations

Open access Sep 2026

Synergistic effects of spectral preprocessing and machine learning algorithms for nitrogen estimation in tomato using hyperspectral spectral data

Accurate estimation of leaf nitrogen content is essential for optimizing fertilization management and improving crop productivity. This study proposes a nondestructive hyperspectral imaging framework combined with advanced machine learning algorithms to classify nitrogen levels in tomato leaves (Solanum lycopersicu...

Mohammad Vahedi Torshizi, S. Sabzi, Mohsen Azadbakht et al. · Scientific Reports · 0 citations

Open access Jul 2026

Training noise sensitivity analysis of default and tuned classifiers for NIR spectroscopic detection of pinto bean adulteration

Four CPU-deployable classifiers are benchmarked under two complementary configurations (out-of-the-box and GridSearchCV-tuned) and the tuned PLS-DA is the least sensitive classifier when an offline search is feasible, whereas the out-of-the-box MLP is preferable under tight deployment budgets.

Raziyeh Pourdarbani, S. Sabzi, Dorrin Sotoudeh et al. · Discover Food · 1 citation