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。
小麦
小麦及冬春麦区相关生产与科研
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Response of Wheat Crop to The Application of Different Micronutrients and Their Influence on Growth and Development
综述小麦对锌铁锰铜硼等微量元素的响应及其对生长、产量和品质的影响。
Synergizing process-based modeling and data-driven learning for precision nitrogen optimization in winter wheat
Synergizing process-based modeling and data-driven learning for precision nitrogen optimization in winter wheat。Agricultural Systems
A low-cost RGB image and point cloud integrated scanning system for wheat phenotyping
开发低成本RGB与点云融合扫描系统，用于小麦表型测量。
Extracting Summer-Harvested Crops in the Baojixia Irrigation District Using CycleGAN and Transfer Learning
用CycleGAN和迁移学习融合无人机与卫星影像，提取宝鸡峡灌区夏收作物。
Deep learning-based detection and counting of wheat seeds: Comparative benchmarking of YOLO models
用自建RGB小麦种子数据集对比YOLOv8n与YOLO11n的检测计数性能。
Estimation of Grain Yield and Quality in Awned and Awnless Wheat Genotypes Using UAV and Proximal Multispectral Sensors
用无人机与近地多光谱传感器评估有芒/无芒小麦产量与品质，比较不同生育期和年份的植被指数关系。
Wheat Nitrogen Fertilizer Management Using GreenSeeker Handheld Crop Canopy Sensor
用GreenSeeker手持冠层传感器NDVI预测小麦产量并优化氮肥管理。
王发明、陈度团队小麦收获机器人负荷监测在《农业工程学报》发表
提出基于功率流与SVR-NOA的小麦收获机器人负荷在线监测方法。
Estimating wheat lodging fraction from Sentinel-1/2 imagery using UAV-derived reference labels
利用无人机标签结合Sentinel-1/2影像估算小麦倒伏比例。
Differentiating seasonal trends and environmental responses in wheat through longitudinal chlorophyll a fluorescence phenotyping
用纵向叶绿素荧光表型分析小麦不同基因型，区分季节性趋势与环境响应。
Multi-objective water–energy–food–environment Nexus optimization for wheat production in the North China plain
构建农场尺度水-能-粮-环境耦合优化模型，比较五种情景以优化华北平原小麦生产的可持续性。
Regenerative benefits of legume–wheat intercropping systems on soil quality and resource-use efficiency under deficit irrigation in Egypt
埃及两年试验表明，豆科-小麦间作在亏缺灌溉下仍能提升土壤质量与资源利用效率。
An Interpretable BO-TCBDA Deep Learning Framework for Winter Wheat Yield Estimation Using Multi-Source Remote Sensing Data
提出BO-TCBDA深度学习框架，融合多源遥感数据估算冬小麦产量，兼具高精度与可解释性。
Improving Selection Efficiency at the Head Rows Stage of Winter Wheat Breeding by Using the Normalized Difference Vegetation Index
比较NDVI与育种家目视选择在小麦育种早期穗行阶段的效果，发现NDVI选择可提高效率。
Integrating a pesticide risk indicator into a multi-criteria assessment tool for comparing crop protection scenarios
开发了IPM自评估工具ISAT，集成新的农药风险指标PL EU，比较作物保护情景的环境、健康和经济影
Sustainable Wheat Production Through Precision Agriculture: An LCA Case Study in Italy
通过LCA评估意大利软小麦从传统向精准农业转型的环境影响，发现总影响降低20.8%。
Design and field validation of a vision-based graded compaction intensity control system for wheat seeding
设计并田间验证了基于视觉的小麦播种分级压实强度控制系统。
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。
DMP-UNet: a multimodal fusion network for high-precision nitrogen status monitoring in wheat from UAV multispectral images
提出多模态融合网络DMP-UNet，利用无人机多光谱图像高精度监测小麦氮素水平。