南京农业大学教师个人主页 ZY--Home--Paper Publications

中文

朱艳

Professor Supervisor of Doctorate Candidates

School/Department: Office of the President
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral Degree in Agriculture
Professional Title:Professor
Alma Mater:南京农业大学农学院硕博连读

MORE

Paper Publications Home >> Scientific Research >> Paper Publications: Ma Zhiyuan,Li Wei,Warner Timothy A.,He Can,Wang Xue,Zhang Yu,Guo Caili,Cheng Tao,Zhu Yan,Cao Weixing,Yao Xia.A framework combined stacking ensemble algorithm to classify crop in complex agricultural landscape of high altitude regions with Gaofen-6 imagery and elevation data,INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2023,122(Participating authors)

Liao Yaoyao,Wang Mian,Zhang Ying,Wang Xingchen,Ni Jun,Zhu Yan,Cao Weixing,Jiang Xiaoping.The Spreading Characteristics of Droplets Impacting Wheat Leaves Based on the VOF Model,COATINGS,2023,13(8)(Participating authors)

Zhao Jianqing, Cai Yucheng, Wang Suwan, Yan Jiawei, Qiu Xiaolei, Yao Xia, Tian Yongchao, Zhu Yan, Cao Weixing, Zhang Xiaohu.Small and Oriented Wheat Spike Detection at the Filling and Maturity Stages Based on WheatNet.,PLANT PHENOMICS,2023,5:109-109(Participating authors)

Fu Zhaopeng,Zhang Ke,Zhang Jiayi,Zhang Yu,Cao Qiang,Tian Yongchao,Zhu Yan,Cao Weixing,Liu Xiaojun.Optimizing nitrogen application and sowing date can improve environmental sustainability and economic benefit in wheat-rice rotation,AGRICULTURAL SYSTEMS,2023,204(Participating authors)

Chen Peipei, Li Yue, Liu Xiaojun, Tian Yongchao, Zhu Yan, Cao Weixing, Cao Qiang.Improving yield prediction based on spatio-temporal deep learning approaches for winter wheat: A case study in Jiangsu Province, China,COMPUTERS AND ELECTRONICS IN AGRICULTURE,2023,213:-(Participating authors)

陆汝华,王文轩,曹强,田永超,朱艳,曹卫星,刘小军.稻麦复种模式下氮肥与稻秸互作对小麦产量和N2O排放影响及推荐施肥研究,作物学报,2023,(Participating authors)

Yu Weiguo,Yang Gaoxiang,Li Dong,Zheng Hengbiao,Yao Xia,Zhu Yan,Cao Weixing,Qiu Lin,Cheng Tao.Improved prediction of rice yield at field and county levels by synergistic use of SAR, optical and meteorological data,AGRICULTURAL AND FOREST METEOROLOGY,2023,342(Participating authors)

Improved prediction of rice yield at field and county levels by synergistic use of SAR, optical and meteorological data,AGRICULTURAL AND FOREST METEOROLOGY,2023,342:-(Participating authors)

Mustafa Ghulam,Zheng Hengbiao,Li Wei,Yin Yuming,Wang Yongqing,Zhou Meng,Liu Peng,Bilal Muhammad,Jia Haiyan,Li Guoqiang,Cheng Tao,Tian Yongchao,Cao Weixing,Zhu Yan,Yao Xia.Fusarium head blight monitoring in wheat ears using machine learning and multimodal data from asymptomatic to symptomatic periods,FRONTIERS IN PLANT SCIENCE,2023,13(Co corresponding author)

Liu Xiaojun.Improving the spatial and temporal estimation of ecosystem respiration using multi-source data and machine learning methods in a rainfed winter wheat cropland,SCIENCE OF THE TOTAL ENVIRONMENT,2023,871(Participating authors)

total570 6/57
first previous next last Page; GET MORE