ArticleFoods (Basel, Switzerland)2026
Linear Variable Filter Hyperspectral Imaging for Determination of Acidity and Hardness of Multiple Fruits.
Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Acidity determines the maturity of fruits and is an important component of fruit taste. Hardness is a key indicator for judging ripening status, storage tolerance, and transportation quality. Therefore, detecting acidity and hardness is of great significance. This article uses a linear gradient filter type hyperspectral imager to obtain hyperspectral data of apples, pears, and kiwifruit. A total of 150 fruits (50 apples, 50 pears, and 50 kiwifruits) were used. The dataset was split into modeling and validation sets in a 1:1 ratio using the concentration gradient (SPXY) method. Six spectral indices (NI, RI, DI, AI, TBNI, TBRI) were used to construct detection models for acidity and hardness across multiple fruit types, suitable for combined multi-fruit datasets. Results showed that the Three-Band Normalized Index (TBNI) achieved the highest accuracy for acidity prediction, with R
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