Bayesian neural network for plant disease detection: A role of prior knowledge in data-scarce agricultural systems
综述贝叶斯神经网络如何利用先验知识提升数据稀缺下的植物病害检测。
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#植物病害检测
沿着“植物病害检测”继续探索，共 7 条内容。
Deep Learning Approaches for Plant Disease Detection: A Review of Convolutional Neural Networks and Emerging Techniques
综述深度学习在植物病害检测中的应用，涵盖CNN、混合Transformer、注意力机制与生成式数据增
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The Changing Landscape of Plant Disease Detection: The Role of Artificial Intelligence
综述AI在植物病害检测中的应用，涵盖分类、检测、分割及早期诊断，并指出田间部署的瓶颈与新兴方向。
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EXPLAINABLE EDGE AI FOR EARLY DETECTION OF PLANT DISEASES IN SMART AGRICULTURE USING LIGHTWEIGHT MOBILENETV2 WITH GRADIENT SALIENCY
提出轻量MobileNetV2结合梯度显著性实现边缘端植物病害早期可解释检测。
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Artificial Intelligence in Plant Disease Detection: An Introduction to Intelligent and Automated Crop Health Monitoring
综述AI在植物病害检测中的应用，涵盖图像采集到模型评估全流程及未来趋势。
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A REAL-TİME AI-DRİVEN AGRİCULTURAL ROVER INTEGRATİNG PLANT DİSEASE DETECTİON AND GEO-REFERENCED SOİL MOİSTURE ANALYSİS
开发实时AI农业机器人，集成植物病害检测与地理参考土壤湿度分析。
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PetalSpot: an open-source two-stage deep-learning workflow for pixel-level quantification of petal lesions
提出开源两阶段深度学习流程PetalSpot，实现花瓣病斑像素级量化。
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