Research on Strawberry Quality Inspection Based on Hyperspectral Imaging Technology

Shu Jiang; Jianwen Jiang

doi:10.62051/ijmee.v8n1.06

Authors

Shu Jiang
Jianwen Jiang

DOI:

https://doi.org/10.62051/ijmee.v8n1.06

Keywords:

Hyper-spectral Technology, Cherry strawberry, Soluble Solid Content, Hardness Quality Detection

Abstract

This study integrates hyper-spectral imaging technology, data mining, and image processing to explore its application in non-destructive quality assessment of strawberries, including evaluations of appearance, maturity, and internal quality. It also investigates the impact of different feature selection algorithms on classification accuracy. The research contributes to the development of automated quality grading systems for off-season strawberries, reducing post-harvest losses and enhancing fruit quality. Key findings include: (1) Analysis of strawberry quality parameters and spectral characteristics changes (2) High-spectral imaging-based strawberry hardness detection method (3) Detection of Soluble Solid Content (SSC) in Strawberries Using Hyper-spectral Imaging

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