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    Advancing precision agriculture with deep learning enhanced SIS-YOLOv8 for Solanaceae crop monitoring by Ruiqian Qin, Yiming Wang, Xiaoyan Liu, Xiaoyan Liu, Helong Yu

    Published 2025-01-01
    “…The research introduces three key modules: 1) a Fusion-Inception Conv module to improve feature extraction against complex backgrounds like rain and haze; 2) a C2f-SIS module incorporating Style Randomization to enhance generalization ability for different crop diseases and extract more detailed disease features; and 3) an SPPF-IS module to boost model robustness through feature fusion. …”
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