Leaf Image Recognition Method of Alien Invasive Plants Based on Machine Learning
In order to effectively prevent invasive plants from breaking the growth environment of local plants,a method of leaf image recognition of invasive plants based on machine learning is proposed.An adaptive expanded image filtering algorithm based on exponential variables is used to filter the image of the alien invasive plant leaves.The pyramid convolution network is constructed,the contour texture features are extracted and fused,and the softmax function is used to obtain the final recognition results of the alien invasive plant leaf im-age.Experimental tests show that the proposed method can effectively reduce the recognition time of alien inva-sive plant leaf images and improve the accuracy of recognition results.At the same time,the proposed method can provide efficient and accurate image processing and recognition capabilities in various application scenarios.
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