Scalable, cloud-native decision support system for Variable Rate Application (VRA) based on multi-year NDRE time series in arable precision agriculture
构建云原生决策支持系统，用多年NDRE时序自动生成精准农业变量施肥/播种处方图。
小麦
小麦及冬春麦区相关生产与科研
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Multisensor data fusion from uav platforms: a robust approach for estimating photosynthetic capacity across vertical leaf layers in winter wheat
Multisensor data fusion from uav platforms: a robust approach for estimating photosynthetic capacity across vertical leaf layers in winter wheat。Precision Agriculture
Species identification of crops and weeds in wheat fields using hyperspectral data and machine learning algorithms
利用高光谱数据与随机森林识别哈萨克斯坦东北部麦田作物与杂草，并分析误判的生物学原因。
NDAVI Improves Genotypic Discrimination in Dense Bread Wheat Canopies under Moderate Nitrogen Contrast
评估无人机多光谱植被指数在密植小麦中区分氮处理和基因型的能力。
Optimizing canopy nitrogen retrieval in wheat from high-resolution UAV hyperspectral data using RTM-based Gaussian process regression
用PROSAIL-PRO与高斯过程回归从无人机高光谱数据反演小麦冠层氮含量。
Yield ranking of spring wheat breeding lines absent from model training within two contrasting seasons in northern Kazakhstan
评估春小麦育种品系产量模型在未参与训练品系上的跨季预测能力。
UAV多光谱不同空间分辨率匹配春小麦多性状监测
用无人机多光谱重采样14种分辨率，结合PROSAIL与随机森林，研究春小麦多性状反演的空间尺度效应。
基于高光谱遥感和跨区域迁移学习的冬小麦叶绿素含量评估
提出RATL迁移学习框架，解决高光谱遥感跨区域冬小麦叶绿素评估的域偏移问题。
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。
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。
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。
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。
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。
Full-season wheat phenotyping using UAV-based multi-source remote sensing: dynamic time-series modeling and high-throughput trait extraction
利用无人机多源遥感进行全季节小麦表型分析，通过动态时间序列建模提取高通量性状。
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。
Estimation of the Comprehensive High Photosynthetic-Efficiency Phenotypic Index in Winter Wheat Based on UAV Multimodal Remote Sensing Data
基于无人机多模态遥感数据，构建综合高光效表型指数并精准估算，用于小麦育种材料筛选。
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。