Extensive experiments and comparative analyses against several recent state-of-the-art approaches confirm the effectiveness and reliability of PotatoGuardNet for potato leaf disease detection. The results demonstrate that the proposed framework successfully captures disease-specific visual patterns and provides accurate localization and classification, indicating its potential for practical deployment in automated agricultural disease monitoring systems.
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Marriam Nawaz
Ali Javed
Abdul Khader Jilani Saudagar
SHILAP Revista de lepidopterología
Frontiers in Plant Science
University of Engineering and Technology Taxila
Imam Mohammad ibn Saud Islamic University
Islamic University
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Nawaz et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69a75e71c6e9836116a290db — DOI: https://doi.org/10.3389/fpls.2026.1720276
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