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Open access Aug 2026

Portable NIR Prediction of Soluble Solids Content in Cherry Tomato Using Region-Guided Wavelength Selection and Sparse Bayesian Learning

Soluble solids content (SSC) is an important indicator of sweetness-related quality, maturity, and postharvest grading in cherry tomato. Destructive physicochemical measurements remain accurate but are labor-intensive and unsuitable for rapid batch assessment. This study developed an RGSW-SBL framework for predicting S...

Quanqing Liao, Zijun Han, Heng-Nian Qi et al. · 0 citations
Open access Aug 2026

Hyperspectral Prediction of Variety, SPAD Value, and Water Content of Oilseed Rape Leaves Using an Improved WGAN-GP

Rapid and non-destructive identification of oilseed rape varieties and prediction of leaf Soil Plant Analysis Development (SPAD) value and water content are important for variety evaluation and plant-status monitoring. However, hyperspectral prediction is constrained by small sample size, costly reference measurements,...

Qinfeng Zhang, Shen-Hui Shen, Guoyi Yu et al. · 0 citations

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