Diag-STFN：全球收获前作物产量预测的诊断时空多模态融合网络——覆盖38国玉米29国小麦（Ecological Informatics 2026）
提出诊断式时空多模态融合网络Diag-STFN，实现全球收获前玉米小麦产量预测。
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Automated Machine Learning-Driven UAV Remote Sensing for Accurate Winter Wheat Water Content Prediction
用无人机多光谱、RGB和热红外遥感结合AutoML预测冬小麦含水量。
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VGG21 Deep Learning + Drone Multispectral Imagery Detects Wheat Waterlogging Stress and Silicon Fertilizer Effects
用无人机多光谱和VGG21深度学习检测小麦涝害并评估硅肥效果。
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Hyperspectral Imaging for Disease Detection in Wheat Crops: A Comprehensive Survey
综述高光谱成像在小麦病害检测中的应用，涵盖方法、挑战与未来方向。
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Transfer learning and multi-branch intermediate fusion deep neural network for wheat nitrogen concentration monitoring using multi-scale multi-modal remote sensing information
提出迁移学习与多分支中间融合深度网络，利用多尺度多模态遥感监测小麦氮浓度。
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