Cucumber Downy Mildew Disease Prediction Using a CNN-LSTM Approach
Most Cited Paper
in Plant Pathogens and Fungal Diseases
18 Months Post-Publication
Class of 2026
“Cucumber Downy Mildew Disease Prediction Using a CNN-LSTM Approach”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/plant-pathogens-and-fungal-diseases/2026/
Topics
cucumber downy mildew · CNN-LSTM · Convolutional neural network · LSTM · spore counting · portable spore catcher · disease incidence prediction · greenhouse environment monitoring · Pearson correlation analysis · leaf area proportion · environmental data fusion · Mean Absolute Error · Mean Square Error · root mean square error · Bland-Altman analysis · airborne plant disease · early warning model · time series prediction
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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