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姚霞
Professor
Supervisor of Doctorate Candidates
School/Department: College of Agriculture
Professional Title:
Professor
Alma Mater:
南京农业大学
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Paper Publications
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Paper Publications
郑恒彪,周祥,何骄阳,姚霞,程涛,朱艳,曹卫星,田永超.Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV),COMPUTERS AND ELECTRONICS IN AGRICULTURE,2020,169:-(Participating authors)
周萌,马雪,汪康康,程涛,田永超,Wang Jing,朱艳,Hu Yongqiang,Niu Qingsong,Gui Lijuan,Yue Chunyu,姚霞.Detection of phenology using an improved shape model on time-series vegetation index in wheat,COMPUTERS AND ELECTRONICS IN AGRICULTURE,2020,173:-(Correspondence Author)
曹强,田兴帅,马吉锋,姚霞,刘小军,田永超,曹卫星,朱艳.中国三大粮食作物临界氮浓度稀释曲线研究进展,南京农业大学学报,2020,43(3):392-402(Participating authors)
“双一流”建设背景下交叉学科研究生培养的探索与启示,学位与研究生教育,2020,:17-23(Participating authors)
Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking,REMOTE SENSING,2020,12(16):-(Participating authors)
江佳乐,张巧凤,姚霞,田永超,朱艳,曹卫星,程涛.HISTIF: A New Spatiotemporal Image Fusion Method for High-Resolution Monitoring of Crops at the Subfield Level,IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2020,13:4607-4626(Participating authors)
李栋,陈镜明,张骁,闫岩,朱杰,郑恒彪,周凯,姚霞,田永超,朱艳,程涛,曹卫星.Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time,REMOTE SENSING OF ENVIRONMENT,2020,248:-(Participating authors)
郑恒彪,马吉锋,周萌,李栋,姚霞,曹卫星,朱艳,程涛.Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery,REMOTE SENSING,2020,12(6):-(Participating authors)
黄芬,高帅,姚霞,张小虎,朱艳.基于机器学习和多颜色空间的冬小麦叶片氮含量估算方法研究,南京农业大学学报,2020,43(2):364-371(Participating authors)
张妮,苏茜,章项斌,姚霞,程涛,朱艳,曹卫星,田永超.Monitoring daily variation of leaf layer photosynthesis in rice using UAV-based multi-spectral imagery and a light response curve model,AGRICULTURAL AND FOREST METEOROLOGY,2020,291:-(Participating authors)
total287 14/29
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