In the production process of cotton fiber,cotton heterosexual fiber directly affects the quality of its finished product.Visual observation by manual is a commonly used method to determine the quality of cotton heterosexual fiber,but this method consumes a lot of manpower and time,and the accuracy is not high.In this paper,we test a method for automatic detection of cot-ton heterosexual fibers based on deep learning.Through the convolutional neural network,the quality detection process of cotton heterosexual fibers is automated in the process of continuous training of cotton images.The results show that this method has high accuracy and high efficiency for the detection of cotton heterosexual fibers,and is of great significance for the automatic production and processing of high-quality cotton.
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