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What is Walnut Species Classification with Deep Learning about?

This study focuses on the automatic classification of walnut species using deep learning methods, specifically pre-trained models like ResNet-50 and Xception, achieving high accuracy rates of 97.95% and 98.54% respectively. A dataset of 2540 images from five walnut species was created to enhance classification efficiency, reducing manual labor and error rates in traditional methods. The findings highlight the potential of deep learning technologies to improve agricultural practices and provide faster, more

Author

hardeneha.vijay

Language

EN