Variety Identification of Corn Seeds Based on Hyperspectral Imaging and Convolutional Neural Network

Corn as a key food crop, has a wide range of varieties with similar appearances, making manual classification challenging. Thus, fast and non-destructive seed variety identifi- cation is crucial for improving yield and quality. Hyperspectral imaging is commonly used for non-destructive seed classification. For the advancement of smart agriculture and precision breeding, in this study, 30 corn varieties from Northwest China were ana- lyzed using hyperspectral images (870–1709 nm) to extract...