Year classification of high-oleic peanut seeds based on hyperspectral hybrid bands selection method

Key Points

• This research aims to classify high-oleic peanut seeds based on their storage years and evaluate their vigor and quality.
• Utilized hyperspectral imaging for seed classification.
• Evaluated seed vigor and quality across different storage years.
• Conducted comparative studies on selection methods.
• High-oleic seeds stored for shorter periods exhibited significantly higher vigor (p<0.05).
• The hyperspectral method accurately classified seeds by storage year with 85% precision.
• Seed quality metrics improved when using selected bands from hyperspectral data.