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This research article presents a novel approach for identifying onion varieties using deep learning techniques, specifically through the analysis of bulb images. The study evaluates four pre-trained convolutional neural networks, with DenseNet121 achieving the highest performance metrics, indicating its effectiveness for automated onion variety classification. The findings suggest that deep learning can significantly enhance the accuracy and efficiency of onion variety identification, which is crucial for m

Author

Vaibhav Jadhav

Language

EN