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Early diagnosis of Sugarcane leaf diseases through CNN and Vision Transformer hybrid model

2025-08-13

Abstract excerpt

<title>Abstract</title> <p>Timely and precise identification of foliar diseases in sugarcane is imperative for yield optimization and disease management. This work proposes a hybrid deep learning framework leveraging Convolutional Neural Networks (CNNs) and Vision Transformers (VITs) for automated multi-class classification of sugarcane leaf diseases, including <bold>healthy</bold>, <bold>yellow rust</bold>, <bol...

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Literature Corpus work: 24b4421b-b69f-5812-9791-1a54892ce78c
DOI: 10.21203/rs.3.rs-7232200/v1

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