Computer vision and edge AI for crop health monitoring: a critical review of field validation and deployment evidence
批判性综述评估作物健康监测中计算机视觉与边缘AI的田间验证和部署证据。
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AgriDrishti: An AI-Assisted Smart Agriculture Android Application
开发了一款集成AI作物病害指导、用药计算、天气、市场价格和多语言语音助手的安卓智慧农业应用。
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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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FDUNet-LRSA: efficient frequency-adaptive segmentation for automated crop disease inspection
提出频域自适应分割网络FDUNet-LRSA，用于甘薯病害自动巡检。
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Agricultural Visual Recognition: A Novel Privacy-Preserving Framework Based on 4D Chaos and Mamba Networks
提出结合四维混沌加密与Mamba网络的隐私保护作物病害识别框架。
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Deep Learning-Based Crop Disease Detection Using EfficientNet-B3 for Smart Agriculture
Deep Learning-Based Crop Disease Detection Using EfficientNet-B3 for Smart Agriculture。Research Square
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Explainable Deep Learning-Based Potato Leaf Disease Detection and Severity Assessment for Smart Agriculture in Bangladesh
Explainable Deep Learning-Based Potato Leaf Disease Detection and Severity Assessment for Smart Agriculture in Bangladesh。Research Square
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Artificial intelligence for crop disease detection and management: A bibliometric analysis of global research trends
通过文献计量分析，梳理了2016-2026年AI在作物病害检测与管理中的研究趋势。
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Lightweight real-time detection of sweet potato virus disease by a hybrid CNN–Transformer network
提出Swin-SPVDNet混合CNN-Transformer网络，实现甘薯病毒病轻量级实时检测。
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