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REA-CNN: A Region-Aware & Enhanced Attention CNN for Robust Leaf Disease Classification

2026-01-09

Abstract excerpt

Automated plant leaf disease detection using deep learning has achieved high accuracy on benchmark datasets; however, its performance often degrades when applied to real-world agricultural images affected by background clutter, illumination variability, and partial occlusions. These factors limit the reliability of conventional convolutional neural network (CNN)–based models trained under controlled conditions. To...

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Literature Corpus work
9d4b00d2-455f-5ad7-9b13-a84d4eb24848
DOI
10.20944/preprints202601.0718.v1
Open publication

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REA-CNN: A Region-Aware & Enhanced Attention CNN for Robust Leaf Disease ClassificationDOI 10.20944/preprints202601.0718.v1
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