Detecting fungi-affected multi-crop disease on heterogeneous region dataset using modified ResNeXt approach
Most Cited Paper
in Plant Pathogens and Fungal Diseases
18 Months Post-Publication
Class of 2026
“Detecting fungi-affected multi-crop disease on heterogeneous region dataset using modified ResNeXt approach”
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pri.pepkio.com/top-papers/plant-pathogens-and-fungal-diseases/2026/
Topics
fungi-affected disease · multi-crop disease detection · heterogeneous region dataset · modified ResNeXt · ResNeXt architecture · deep learning classification · Plant disease diagnosis · fungal pathogen detection · Convolutional neural network · agricultural image analysis · transfer learning · model modification strategy
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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