Author

S. Sabzi

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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

The detection of fraudulent pinto bean adulteration, typically driven by the introduction of low-grade specimens with the Hard-to-Cook (HTC) defect into premium batches, is a persistent challenge in the legume industry. Near-infrared (NIR) spectroscopy combined with machine learning offers a non-destructive route for...

Raziyeh Pourdarbani, S. Sabzi, Dorrin Sotoudeh et al. · Discover Food · 0 citations