C
Chunjiang Zhao
Researcher at Center for Information Technology
Publications - 279
Citations - 4923
Chunjiang Zhao is an academic researcher from Center for Information Technology. The author has contributed to research in topics: Computer science & Canopy. The author has an hindex of 30, co-authored 232 publications receiving 3384 citations. Previous affiliations of Chunjiang Zhao include Agricultural University of Hebei & Northeast Agricultural University.
Papers
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Journal ArticleDOI
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
Guijun Yang,Jiangang Liu,Chunjiang Zhao,Zhenhong Li,Yanbo Huang,Yu Haiyang,Bo Xu,Xiaodong Yang,Dongmei Zhu,Xiaoyan Zhang,Ruyang Zhang,Haikuan Feng,Zhao Xiaoqing,Zhenhai Li,Heli Li,Hao Yang +15 more
TL;DR: The current status and perspectives on the topic of UAV-RSPs for field-based phenotyping were reviewed and can provide theoretical and technical support to promote the applications of Uav-R SPs for crop phenotypesing.
Journal ArticleDOI
Crop Phenomics: Current Status and Perspectives.
Chunjiang Zhao,Ying Zhang,Jianjun Du,Guo Xinyu,Weiliang Wen,Shenghao Gu,Jinglu Wang,Fan Jiangchuan +7 more
TL;DR: The challenges and prospective of crop phenomics are discussed in order to provide suggestions to develop new methods of mining genes associated with important agronomic traits, and propose new intelligent solutions for precision breeding.
Journal ArticleDOI
Predicting grain protein content of winter wheat using remote sensing data based on nitrogen status and water stress
TL;DR: In this paper, the spectral reflectance of TM channel 5 derived from canopy spectra or image data at grain filling stage was all significantly correlated to grain protein content (R2 = 0.31 and 0.37, respectively).
Journal ArticleDOI
Combined Multi-Temporal Optical and Radar Parameters for Estimating LAI and Biomass in Winter Wheat Using HJ and RADARSAR-2 Data
Xiuliang Jin,Guijun Yang,Xingang Xu,Hao Yang,Haikuan Feng,Zhenhai Li,Jiaxiao Shen,Yubin Lan,Chunjiang Zhao +8 more
TL;DR: The results indicated that the COSVI-RPPs can be used to robustly estimate LAI and biomass and may provide a guideline for improving the estimations of LAi and biomass of winter wheat using multisource remote sensing data.
Journal ArticleDOI
Prediction of grain protein content in winter wheat (Triticum aestivum L.) using plant pigment ratio (PPR).
Zhijie Wang,Zhijie Wang,Jianwen Wang,Liangyun Liu,Wenjiang Huang,Chunjiang Zhao,Changzuo Wang +6 more
TL;DR: In this paper, the applicability of the hyperspectral data from the canopy to the prediction of wheat grain quality was assessed for winter wheat, and the results indicated that the plant pigment ratio (PPR, (R550−R450)/(R550+R450)), a Chl-based index was most applicable to predict wheat grain protein due to its significant correlation with leaf N concentration at the post-anthesis stage.