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Fine classification of rice diseases under field conditions based on improved ConvNeXt network

2026-05-28

Abstract excerpt

<title>Abstract</title> <p>Rice disease identification is a critical technique for ensuring yield and quality in precision agriculture. However, complex field backgrounds, subtle lesion features, and similar symptomatic manifestations have led to low accuracy and poor robustness in traditional classification methods. To address these issues, this study proposes an improved ConvNeXt network model (Improve‑ConvNeXt...

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Literature Corpus work: afd84ab7-a3b5-51cf-a39a-0c48ea371280
DOI: 10.21203/rs.3.rs-9636383/v1

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