Novel spectral phenotyping and deep learning approach unveiled for GM rice seed detection

Cereals, crucial for food and biofuel, are increasingly using genetically modified (GM) technology in production to enhance resistance and nutrition. Despite biosafety concerns, precise detection methods like PCR are complex and expert-dependent. Advanced spectroscopic techniques, including near infrared and terahertz, are emerging as simpler alternatives for identifying GM organisms by analyzing spectral signatures.