智能识别技术在农产品自动分选中的应用

Application of Intelligent Recognition Technology in Automatic Sorting of Agricultural Products

阐述针对农产品分拣中的问题,以红枣为例,结合深度学习中实例分割的实际应用,探讨基本的模型算法。在可见光RGB成像条件下,通过图像处理与机器学习技术,检测和分析红枣表面的缺陷。

This paper expounds the problems in agricultural product sorting,taking red dates as an example,and combines practical applications of instance segmentation in deep learning to explore basic model algorithms.Under visible light RGB imaging conditions,it detects and analyzes defects on the surface of red dates through image processing and machine learning techniques.