精准棉花病害管理：融合无人机影像与定制YOLO深度学习框架
提出轻量化检测器Cotton-Vision，用无人机影像精准识别棉花病害。
数字农业与前沿技术
浏览数字农业与前沿技术相关政策、产业动态与研究。
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AutoPlot grid: development and quantitative evaluation of an RTK-GNSS-based tool for automated breeding-plot delineation and UAV phenotyping data extraction
AutoPlot grid: development and quantitative evaluation of an RTK-GNSS-based tool for automated breeding-plot delineation and UAV phenotyping data extraction。Precision Agriculture
Unmanned aerial vehicle time‐series phenotyping illuminates genotype‐specific responses to off‐target dicamba exposure in soybean
用无人机多光谱时序表型量化非转基因大豆受除草剂飘移药害的基因型差异。
A real-time deep learning method for detection and localization of non-emerged cabbage seedlings
提出无人机实时检测定位未出苗甘蓝幼苗的深度学习方法，准确率96.9%。
Estimation of leaf nitrogen content of typical fruit trees in arid regions based on fusion of UAV multispectral information and texture features
Estimation of leaf nitrogen content of typical fruit trees in arid regions based on fusion of UAV multispectral information and texture features。Precision Agriculture
High-throughput phenotyping of maize genotype using drone-based multispectral imagery for NDVI estimation
利用无人机多光谱影像对玉米基因型进行高通量表型分析并估算NDVI。
Intelligent Automated Crop Monitoring System Based on Unmanned Aerial Vehicles and Deep Learning for Smart Agriculture
构建无人机RGB影像深度学习分割与空间矢量化框架，实现作物监测优先级评估。
International Journal of Engineering Technology Research & Management·12月21日 · 周一34 分 论文数字农业与前沿技术农业人工智能与决策模型阅读 2
PRECISION AGRICULTURE ANALYTICS USING UAV MULTISPECTRAL IMAGING AND MACHINE LEARNING FOR CROP STRESS DETECTION AND YIELD OPTIMIZATION MODELS
利用无人机多光谱影像与机器学习进行作物胁迫检测和产量优化建模。
A MULTIMODAL FRAMEWORK FOR LIVESTOCK DETECTION AND EPIZOOTIC MONITORING
提出多模态计算机视觉框架，用无人机和地面图像检测牛羊并监测疫情。
Detecting diurnal dynamics of cotton leaf inclination angle under water-salt stress
提出CAPLA无人机点云融合方法，监测水盐胁迫下棉花叶倾角昼夜动态。
基于无人机多光谱图像和VGG21模型的小麦渍害调控效果识别方法
用无人机多光谱图像和VGG21模型识别小麦渍害调控效果。
面向冬小麦水分含量的无人机遥感自动机器学习预测——MDPI Remote Sensing
用无人机多传感器遥感结合AutoML预测冬小麦水分含量。
无人机遥感在水稻高通量表型分析中的研究进展 系统综述
系统综述199项研究，梳理无人机遥感在水稻高通量表型分析中的应用进展与瓶颈。