A rapid identification technique for rice adulteration based on improved YOLOV8 model

• Published in: Measurement science & technology Vol. 36; no. 2; p. 26207
• Main Authors: Zhang, Yuan, Xing, Xiao, Zhu, Lei, Li, Xin, Wang, JiaNing, Du, YanPing, Han, Rui
• Format: Journal Article
• Language: English
• Published: 28.02.2025

Rice classification and quality testing are essential to ensure its safety and quality, and can effectively reduce food economic losses associated with rice, which is currently the subject of repeated reports of rice adulteration. For this reason, according to the experimental requirements, we selec...