下面这些都和你提到的 “轻量化 YOLO + 高精度 + 实时 + 作物叶片病害/虫害检测” 很接近（尽量给可直接下载的 PDF；个别可能需要机构权限）。
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A rapid and precise algorithm for maize leaf disease detection based on YOLO MSM (Scientific Reports)
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YOLOv11-RCDWD: A New Efficient Model for Detecting Maize Leaf Diseases… (MDPI Applied Sciences, Open Access)
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YOLOv8-DBW: An Improved YOLOv8-Based Algorithm for Maize Leaf Diseases and Pests Detection（偏轻量/易部署）
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基于改进型轻量化的YOLOv5玉米病害检测（GhostNet + GSConv 等，中文，PDF）
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YOLO-SDW: A method for detecting infection in corn leaves (Energy Reports / ScienceDirect，页面内可 View PDF，Open Access)
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MSTA-YOLOv11: an improved detection model for maize pests and diseases…（Springer，可能需订阅）
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YOLO-PLNet: a lightweight real-time detection model for peanut leaf…（基于 YOLO11n 的轻量实时思路）
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LT-YOLO: A Lightweight Network for Detecting Tomato Leaf Diseases（YOLOv8n 轻量化）
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YOLO-APLD: A lightweight apple leaf disease detection model…（YOLOv8n 轻量化方向）
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MPGA-YOLOv8: A Leaf Disease Detection Network…（多尺度+轻量化改进）
对应下载/访问地址（按上面编号）：
2) https://www.mdpi.com/2076-3417/15/8/4535/pdf
3) https://pdfs.semanticscholar.org/8dae/f8c6b274c4dd642f06a194bc17c76e897e7f.pdf
4) https://pdf.hanspub.org/csa_1543658.pdf
5) https://www.sciencedirect.com/science/article/pii/S2352484724007923
6) https://link.springer.com/content/pdf/10.1007/s11554-025-01821-9.pdf
7) https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2025.1707501/pdf
8) https://cdn.techscience.cn/files/cmc/2025/TSP_CMC-82-3/TSP_CMC_60550/TSP_CMC_60550.pdf
9) https://apsjournals.apsnet.org/doi/pdf/10.1094/PDIS-07-25-1440-RE
10) https://www.iaeng.org/IJCS/issues_v52/issue_2/IJCS_52_2_15.pdf