AI RESEARCH
Non-destructive Identification of Oyster Species is possible from Hyperspectral Images with Machine Learning
arXiv CS.LG
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ArXi:2605.30811v1 Announce Type: new Differentiating between oyster species is important for developing new commercial oyster species suited to production systems and is critical for traceability in seafood supply chains. Common methods, such as DNA profiling, are destructive and time consuming. The possibility of using hyperspectral imaging (HSI) for discriminating between Black-Lip rock (BL) and Sydney rock (SR) oysters was investigated. Live BL and SR samples (N = 156) were scanned with a HSI camera (950-2515nm.