Article

Unsupervised Anomaly Detection in Plant Disease Localization

2025-07-30

Abstract excerpt

<title>Abstract</title> <p>Early and accurate detection of plant diseases is essential for integrated pest management (IPM) and sustainable agriculture, yet most current deep learning methods rely heavily on annotated data and fail to generalize across crops and different stages of disease manifestation. In this work, we propose an unsupervised anomaly detection framework based on Attention U-Net to identify and...

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Literature Corpus work: c11b60f4-32db-5287-8591-633c2e07f302
DOI: 10.21203/rs.3.rs-7179698/v1

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