使,

Wei Xu1,2, Liangzhuang Wei3, Wei Cheng1

  • 1Institute for Electric Light Sources, School of Information Science and Technology, Fudan University, Shanghai, China.

Frontiers in plant science
|February 15, 2024
PubMed
概括

特性工程显著改善了用于预测果可溶性固体含量 (SSC) 的超光谱成像. 这种非破坏性方法提高了农业中的水果质量评估.