A smart agriculture-oriented cross-attention multiscale CNN for sugarcane disease diagnosis
提出交叉注意力多尺度并行CNN，实现甘蔗叶病自动分类。
棉麻糖与特色经作
棉花、甘蔗、烟草、蚕桑等工业原料型作物
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MSFANet: a multi-scale feature aggregation network for tobacco pest recognition
提出MSFANet多尺度特征聚合网络，实现复杂田间背景下烟草害虫的自动识别。
Cotton leaf disease classification using deep learning models for smart agriculture
Cotton leaf disease classification using deep learning models for smart agriculture。Agriculture & Food Security
A Hybrid CNN–Transformer–LSTM Deep Learning Framework for Automated Cotton Disease Detection
提出CNN-Transformer-LSTM混合框架，实现棉花叶片病害自动识别。