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ADAM-DETR: An Intelligent Rice Disease Detection Method Based on Adaptive Multi-scale Feature Fusion

2025-06-05

Abstract excerpt

<title>Abstract</title> <p>Rice diseases pose a severe threat to global food security, while traditional detection methods suffer from low efficiency and dependence on manual expertise. To address the challenges of insufficient feature extraction and poor multi-scale disease adaptability in existing deep learning approaches under complex field environments, this study proposes ADAM-DETR, a rice disease detection...

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Literature Corpus work: 98bf17ab-9d12-5575-86ea-747ed7791762
DOI: 10.21203/rs.3.rs-6730485/v1

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