CNN Models Approaches for Robust Classification of Apple Diseases
Most Cited Paper
in Plant Pathogens and Fungal Diseases
18 Months Post-Publication
Class of 2026
“CNN Models Approaches for Robust Classification of Apple Diseases”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/plant-pathogens-and-fungal-diseases/2026/
Topics
CNN-based models · apple leaf disease classification · ResNet-50 · InceptionV4 · Xception · DenseNet121 · EfficientNetV2_m · VGG13 · Early disease detection · Plant disease diagnosis · deep learning for agriculture · Image-based disease detection · Model benchmarking · F1-score · precision and recall metrics
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Plant Pathogens and Fungal Diseases Papers, Class of 2026. https://pri.pepkio.com/top-papers/plant-pathogens-and-fungal-diseases/2026. Accessed 2026-07-14. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459