Lightweight Hybrid CNN-Transformer Network for Robust Maize Leaf Disease Detection and Edge Deployment
构建轻量MobileNetV3-Small框架实现玉米叶片病害分类并评估边缘部署。
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PlantVillage 病害分类
同时包含 PlantVillage、病害分类 的农业资讯，共 5 条。
AgroNLP-SimAssist: a multilingual transformer-based decision support simulator for crop disease diagnosis, advisory generation, and market intelligence
提出多语言Transformer农业决策支持模拟器，统一实现作物病害诊断、农技建议与市场情报。
Fine-Tuned Hybrid Deep Learning Framework for Plant Disease Classification Using MobileNetV2 and EfficientNetB0 Feature Fusion
融合MobileNetV2与EfficientNetB0特征并微调，实现植物病害高精度分类。
EfficientNet-CBAM-prototype: an attention-guided EfficientNet framework with dynamic prototype representation for tomato disease classification
提出ECP-Net，用注意力与动态原型提升番茄病害分类精度与可解释性。
RAVA: a robust recurrent active vision agent for plant disease diagnosis under severe environmental noise
提出RAVA，一种循环主动视觉智能体，通过主动观察应对环境噪声，提升植物病害诊断鲁棒性。