Practical application of artificial intelligence for ecological image analysis: Trialling different levels of taxonomic classification to promote convolutional neural network performance

The integration of artificial intelligence (AI), particularly convolutional neural networks (CNNs), into ecological research presents new opportunities for the automated analysis of image-based data.This study explores the practical application of CNNs for ecological image analysis by hancheng fashion trialling annotation to different levels of tax

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