Article

Hybrid Explainable DeiT-Based Framework for Plant Disease Classification and Severity Estimation

2026-05-26

Abstract excerpt

<title>Abstract</title> <p>The detection of plant diseases is essential to the preservation of agricultural productivity and food security, yet the existing technologies are likely to have low interpretability and low generalization in practice. This work suggests a hybrid deep learning model in the form of Data-efficient Image Transformers (DeiT) to detect and classify plant diseases and estimate their severity....

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Literature Corpus work: 9a7aa958-d567-5ecb-bda5-7f499e00fd9e
DOI: 10.21203/rs.3.rs-9806790/v1

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