Precision Agriculture Through Deep Learning: Tomato Plant Multiple Diseases Recognition With CNN and Improved YOLOv7
Most Cited Paper
in Plant Virus Research Studies
18 Months Post-Publication
Class of 2026
“Precision Agriculture Through Deep Learning: Tomato Plant Multiple Diseases Recognition With CNN and Improved YOLOv7”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/plant-virus-research-studies/2026/
Topics
tomato plant disease detection · YOLOv7 · SimAM attention mechanism · DAiAM attention mechanism · max-pooling convolution (MPConv) · SIFT segmentation · CNN classifier · Tomato yellow leaf curl virus · leaf mold · light blight · early blight · mosaic virus · Septoria leaf spot · bacterial spot · precision agriculture · early yield estimation · feature extraction · target detection model · greenhouse data acquisition
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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