A deep learning approach for Maize Lethal Necrosis and Maize Streak Virus disease detection
Most Cited Paper
in Plant Virus Research Studies
18 Months Post-Publication
Class of 2026
“A deep learning approach for Maize Lethal Necrosis and Maize Streak Virus disease detection”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/plant-virus-research-studies/2026/
Topics
Maize Lethal Necrosis · Maize Streak Virus · Convolutional Neural Networks · EfficientNet V2 B0 · EfficientNet V2 B1 · LeNet-5 · VGG-16 · ResNet50 · Gradient-weighted class activation mapping · Gradient-weighted class activation mapping · hyperparameter tuning · image dataset · maize leaf images · plant disease classification · deep learning for agriculture · automated disease detection · Sub-Saharan Africa crop disease
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Plant Virus Research Studies Papers, Class of 2026. https://pri.pepkio.com/top-papers/plant-virus-research-studies/2026. Accessed 2026-07-17. 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