PhenoDesk: A Digital Platform for Automated Leaf Phenotyping and Reproducible Morphometric Analysis
开发了PhenoDesk数字表型平台，实现叶片图像自动分割、形态测量与可重复分析。
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基于人类启发主动分离成像与YOLO-PFL的水稻秧苗叶龄识别
研制主动分离近距成像装置并构建数据集，提出YOLO-PFL模型识别水稻秧苗叶龄。
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Hybrid local–global vision transformer framework for robust plant disease detection in precision agriculture
提出混合局部-全局视觉Transformer模型ViT-LGFNet用于植物病害检测。
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A Computer Vision-Based Framework for Multilevel Egg Fertility Classification Using L*a*b* Color Segmentation, Wavelet Texture Features, and Support Vector Machine
提出基于计算机视觉的种蛋三级受精分类框架，区分高受精、受精与未受精。
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Computer vision associated with multivariate genomic selection methods increases yield prediction accuracy in blueberry
将计算机视觉果实检测与多变量基因组选择结合，提升蓝莓产量预测精度。
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Smart Agriculture & Weed Management/Security
综述九项AI除草与农场安防研究，梳理方法、效果与不足。
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Evaluation of Concept-Probe Causal Sufficiency Audits for Computer Vision Agriculture Disease Classifiers Under Sparse Field-Scouting Ground Truth: An Interpretability Identification Bound for Fungicide Triage
该论文形式化分析了稀疏田间调查下概念探针因果充分性审计的识别力，并给出可解释性识别下界。
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Object Detection in Computer Vision: A Comprehensive Review of Algorithms, Datasets, and Evaluation Techniques
系统综述目标检测三十年演进，从传统方法到深度学习、Transformer与大模型。
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AI-Enabled Smart and Precision Agriculture: Smart Sensors, IoT, Deep Learning, Computer Vision, and Decision Support: A Comprehensive Survey
综述AI赋能精准农业的传感、物联网、深度学习与决策支持，并提出参考架构。
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Calibration-Shift Inference for Computer Vision Agriculture Yield Models Under Retrofit Sensor Replacement: An Artificial Intelligence Post-Deployment Recalibration Guarantee
提出改造传感器替换后视觉产量模型校准漂移的检测与置信区间保证方法。
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Distributionally-Robust Evaluation of Computer Vision Agriculture Disease Classifiers Under Climate-Driven Pathogen Range Shifts: An Artificial Intelligence Worst-Case Generalization Bound
提出气候校准的分布鲁棒评估准则，替代i.i.d.假设评价作物病害视觉分类器。
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YOLO-Based Real-Time Object Detection Using Computer Vision for Robotics
提出将轻量YOLO检测器与机器人相机集成的框架，并定义原型评估方案。
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A Comprehensive Review of Deep Learning and Computer Vision Techniques for Fruit Quality Assessment and Classification
系统综述深度学习与计算机视觉在水果品质评估与分级中的全流程方法。
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Food Recognition and Nutrition Estimator Using Computer Vision and Machine Learning
开发CrunchUP网页应用，拍照识别食物并估算营养，结合个人目标给出膳食建议。
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牛肉牛区域特征计算机视觉分析:基于 YOLO 与深度估计的牛体况自动评分
用YOLO检测与深度估计提取牛体区域特征，实现肉牛体况自动评分。
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A cross-domain review of artificial intelligence techniques for iot security, computer networks, image processing and smart agriculture in connected environments
综述AI在物联网安全、计算机网络、图像处理与智慧农业中的应用与局限。
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Biology-aware association for identity-consistent leaf tracking in top-down plant phenotyping
提出融合外观与三种生物几何线索的关联模块，实现叶片身份一致跟踪。
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Deep learning-based estimation of Kent mango yield by commercial export category under real field conditions in northern Peru
开发深度学习模型在真实田间条件下检测并分类肯特芒果为三个出口等级，实现产量估计。
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YOLO-Based Leaf Disease Detection in Smart Agriculture: Evolution, Task Adaptation, and Deployment Challenges
综述了基于YOLO的叶片病害检测的演进、任务适配与部署挑战。
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An empirical performance comparison of deep learning models for apple leaf disease recognition
用UNet++分割苹果病叶并融合多种CNN与ViT分类，实现98.85%识别准确率。
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