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MDGL-DETR: An Efficient Method for Detecting Apple Leaf Diseases by Integrating Global and Local Features

2026-02-04

Abstract excerpt

<title>Abstract</title> <p>To address challenges such as diverse apple leaf disease phenotypes, high background similarity, and complex natural environments, this study proposes an improved MDGL-DETR model based on RT-DETR, aiming to enhance both the accuracy and efficiency of apple leaf disease detection. First, a Multi-Scale Dilated Asymmetric structure combined with Channel Reduction Attention is designed to s...

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Literature Corpus work
caa0ceed-c8f7-568c-a25f-08bc13e7c8cd
DOI
10.21203/rs.3.rs-8714923/v1
Open publication

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MDGL-DETR: An Efficient Method for Detecting Apple Leaf Diseases by Integrating Global and Local FeaturesDOI 10.21203/rs.3.rs-8714923/v1
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