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1 article for “ConvNeXT”

• Published Subscription Review Article 17 Sep 2025

  An Empirical Study of Hyperparameter Impact on Deep Learning Models for Cardamom Leaf Disease Classification

  By Anjana Jayan, Benson C.C.

  Abstract: Recent advancements in deep learning models like convolutional neural networks and self- attention mechanisms have achieved great success in the field of plant disease classification. This study investigates the efficacy of two pre-trained models, ConvNeXT-Tiny and Swin Transformer-Tiny, for leaf disease classification in cardamom using a publicly available dataset constituting three categories of leaves, namely Healthy, Colletotrichum Blight and Phyllosticta Leaf Spot. The effectiveness of the models highly depends on …

  Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 48–60 Read article →