期刊的影响因子--文章列表

期刊文章列表
Jinfeng Zhang¹；Harsimardeep S.Gill¹；Navreet K.Brar¹；Jyotirmoy Halder¹；Shaukat Ali¹；Xiaotian Liu；Amy Bernardo³；Paul St.Amand³；Guihua Bai³；Upinder S.Gill⁴；Brent Turnipseed¹；Sunish K.Sehgal¹（Department of Agronomy, Horticulture & Plant Science, South Dakota State University；School of Computing, Queen’s University；USDA-ARS, Hard Winter Wheat Genetics Research Unit；Department of Plant Pathology, North Dakota State University）.Genomic prediction of Fusarium head blight resistance in early stages using advanced breeding lines in hard winter wheat[J].The Crop Journal,2022,第6期 Lei Li¹，Muhammad Adeel Hassan¹，Shurong Yang¹，Furong Jing²，Mengjiao Yang¹，Awais Rasheed^1,3,4，Jiankang Wang¹，Xianchun Xia¹，Zhonghu He^1,3，Yonggui Xiao¹（Institute of Crop Sciences,National Wheat Improvement Centre,Chinese Academy of Agricultural Sciences (CAAS)；Electronic Information School,Foshan Polytechnic；International Maize and Wheat Improvement Centre (CIMMYT) China Office；Department of Plant Sciences,Quaid-i-Azam University）.Development of image-based wheat spike counter through a Faster R-CNN algorithm and application for genetic studies[J].The Crop Journal,2022,第5期 Yuanqin Zhang¹，Deqin Xiao¹，Youfu Liu¹，Huilin Wu²（College of Mathematics and Informatics,South China Agricultural University；Guangzhou National Modern Agricultural Industry Science and Technology Innovation Center）.An algorithm for automatic identification of multiple developmental stages of rice spikes based on improved Faster R-CNN[J].The Crop Journal,2022,第5期 Lijun Wang^1,2,3，Jiayao Wang^1,2,4，Zhenzhen Liu^1,2,3，Jun Zhu^1,2,3，Fen Qin^1,2,5,4（Henan Industrial Technology Academy of Spatio-Temporal Big Data,Henan University；College of Geography and Environmental Science,Henan University；Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions,Ministry of Education,Henan University；Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions,Ministry of Education；Henan Technology Innovation Center of Spatial-Temporal Big Data,Henan University）.Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification[J].The Crop Journal,2022,第5期 Shuai Li¹，Zhuangzhuang Yan¹，Yixin Guo¹，Xiaoyan Su¹，Yangyang Cao¹，Bofeng Jiang¹，Fei Yang¹，Zhanguo Zhang²，Dawei Xin³，Qingshan Chen³，Rongsheng Zhu²（College of Engineering,Northeast Agricultural University；College of Arts and Sciences,Northeast Agricultural University；College of Agriculture,Northeast Agricultural University）.SPM-IS：An auto-algorithm to acquire a mature soybean phenotype based on instance segmentation[J].The Crop Journal,2022,第5期 Zurui Ao¹，Fangfang Wu²，Saihan Hu¹，Ying Sun¹，Yanjun Su²，Qinghua Guo³，Qinchuan Xin¹（Guangdong Key Laboratory for Urbanization and Geo-simulation,Sun Yat-sen University；State Key Laboratory of Vegetation and Environmental Change,Institute of Botany,Chinese Academy of Sciences；Department of Ecology,College of Urban and Environmental Science,and Key Laboratory of Earth Surface Processes of the Ministry of Education,Peking University）.Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks[J].The Crop Journal,2022,第5期 Ruicheng Qiu¹，Man Zhang²，Yong He¹（College of Biosystem Engineering and Food Science,Zhejiang University；Key Laboratory of Modern Precision Agriculture System Integration Research,Ministry of Education,China Agricultural University）.Field estimation of maize plant height at jointing stage using an RGB-D camera[J].The Crop Journal,2022,第5期 Li Song¹，Luyuan Wang¹，Zheqing Yang¹，Li He^1,2，Ziheng Feng^1,3，Jianzhao Duan^1,2，Wei Feng^1,2，Tiancai Guo¹（State Key Laboratory of Wheat and Maize Crop Science,Agronomy College,Henan Agriculture University；Information and Management Science College,Henan Agricultural University；CIMMYT-China Wheat and Maize Joint Research Center,State Key Laboratory of Wheat and Maize Crop Science,Henan Agricultural University）.Comparison of algorithms for monitoring wheat powdery mildew using multi-angular remote sensing data[J].The Crop Journal,2022,第5期 Xia Jing¹，Kaiqi Du¹，Weina Duan^1,2，Qin Zou¹，Tingting Zhao^1,2，Bingyu Li¹，Qixing Ye¹，Lieshen Yan^1,2（College of Geomatics,Xi’an University of Science and Technology；Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences）.Quantifying the effects of stripe rust disease on wheat canopy spectrum based on eliminating non-physiological stresses[J].The Crop Journal,2022,第5期 Yu Zhao^1,2，Yang Meng^1,2，Shaoyu Han¹，Haikuan Feng^1,2，Guijun Yang¹，Zhenhai Li^1,3（Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs,Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences；Collaborative Innovation Center for Modern Crop Production Co-sponsored by Province and Ministry,Nanjing Agricultural University；College of Geomatics,Shandong University of Science and Technology）.Should phenological information be applied to predict agronomic traits across growth stages of winter wheat?[J].The Crop Journal,2022,第5期 Huapeng Li¹，Yajun Tian¹，Ce Zhang²，Shuqing Zhang¹，Peter M.Atkinson³（Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences；Lancaster Environment Centre,Lancaster University；Faculty of Science and Technology,Lancaster University）.Temporal sequence Object-based CNN（TS-OCNN） for crop classification from fine resolution remote sensing image time-series[J].The Crop Journal,2022,第5期 jichong han，zhao zhang，juan cao，yuchuan luo（Academy of Disaster Reduction and Emergency Management Ministry of Emergency Management & Ministry of Education,School of National Safety and Emergency Management,Beijing Normal University）.Mapping rapeseed planting areas using an automatic phenology-and pixel-based algorithm（APPA） in Google Earth Engine[J].The Crop Journal,2022,第5期 Qing Li¹，Shichao Jin^1,2，Jingrong Zang¹，Xiao Wang¹，Zhuangzhuang Sun¹，Ziyu Li¹，Shan Xu¹，Qin Ma³，Yanjun Su⁴，Qinghua Guo⁵，Dong Jiang¹（Plant Phenomics Research Centre,Academy for Advanced Interdisciplinary Studies,Regional Technique Innovation Center for Wheat Production,Ministry of Agriculture,Key Laboratory of Crop Physiology and Ecology in Southern China,Ministry of Agriculture,Collaborative Innovation Centre for Modern Crop Production co-sponsored by Province and Ministry,Jiangsu Key Laboratory for Information Agriculture,Nanjing Agricultural University；Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology,International Institute for Earth System Sciences,Nanjing University；Department of Forestry,Mississippi State University,Mississippi State；State Key Laboratory of Vegetation and Environmental Change,Institute of Botany,Chinese Academy of Sciences；Department of Ecology,College of Environmental Sciences,and Key Laboratory of Earth Surface Processes of the Ministry of Education,Peking University）.Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing[J].The Crop Journal,2022,第5期 Guomin Shao^1,2,3，Wenting Han^1,2,3，Huihui Zhang⁴，Yi Wang⁵，Liyuan Zhang^1,2，Yaxiao Niu^1,2，Yu Zhang^6,7，Pei Cao¹（College of Mechanical and Electronic Engineering,Northwest A&F University；Key Laboratory of Agricultural Internet of Things,Ministry of Agriculture；Institute of Water-Saving Agriculture in Arid Areas of China,Northwest A&F University；Water Management and Systems Research Unit,USDA-ARS,2150 Centre Avenue,Bldg.D.,Fort Collins；College of Information,Xi’an University of Finance and Economics；Institute of Soil and Water Conservation,Northwest A&F University；University of Chinese Academy of Sciences）.Estimation of transpiration coefficient and aboveground biomass in maize using time-series UAV multispectral imagery[J].The Crop Journal,2022,第5期 Xiaohu Zhao¹，Jingcheng Zhang¹，Ruiliang Pu²，Zaifa Shu³，Weizhong He³，Kaihua Wu¹（College of Artificial Intelligence,Hangzhou Dianzi University；School of Geosciences,University of South Florida；Lishui Institute of Agriculture and Forestry Sciences）.The continuous wavelet projections algorithm：A practical spectral-feature-mining approach for crop detection[J].The Crop Journal,2022,第5期 Wen Zhuo¹，Shibo Fang^1,2，Dong Wu¹，Lei Wang¹，Mengqian Li¹，Jiansu Zhang¹，Xinran Gao³（State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences；Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science &Technology；School of Geography and Earth Sciences,McMaster University,Hamilton）.Integrating remotely sensed water stress factor with a crop growth model for winter wheat yield estimation in the North China Plain during 2008–2018[J].The Crop Journal,2022,第5期 Qinghua Tan^1,2，Yujie Liu^1,2，Tao Pan^1,2，Xianfang Song^2,3，Xiaoyan Li⁴（Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences；University of Chinese Academy of Sciences；Key Laboratory of Water Cycle and Related Land Surface Processes,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences；State Key Laboratory of Earth Surface Processes and Resource Ecology,Faculty of Geographical Science,Beijing Normal University）.Changes and determining factors of crop evapotranspiration derived from satellite-based dual crop coefficients in North China Plain[J].The Crop Journal,2022,第5期 Dehua Gao¹，Lang Qiao¹，Lulu An¹，Ruomei Zhao¹，Hong Sun^1,2，Minzan Li^1,2，Weijie Tang¹，Nan Wang³（Key Laboratory of Modern Precision Agriculture System Integration Research,Ministry of Education,China Agricultural University；Key Laboratory of Agricultural Information Acquisition Technology,Ministry of Agriculture and Rural Affairs,China Agricultural University；Yantai Institute of China Agricultural University）.Estimation of spectral responses and chlorophyll based on growth stage effects explored by machine learning methods[J].The Crop Journal,2022,第5期 Dan Wu¹，Lejun Yu^1,2，Junli Ye³，Ruifang Zhai³，Lingfeng Duan³，Lingbo Liu¹，Nai Wu³，Zedong Geng³，Jingbo Fu³，Chenglong Huang³，Shangbin Chen¹，Qian Liu^1,2，Wanneng Yang³（Britton Chance Center for Biomedical Photonics,Wuhan National Laboratory for Optoelectronics,and Key Laboratory of Ministry of Education for Biomedical Photonics,Department of Biomedical Engineering,Huazhong University of Science and Technology；School of Biomedical Engineering,Hainan University；National Key Laboratory of Crop Genetic Improvement,National Center of Plant Gene Research,Huazhong Agricultural University）.Panicle-3D：A low-cost 3D-modeling method for rice panicles based on deep learning, shape from silhouette, and supervoxel clustering[J].The Crop Journal,2022,第5期 Zhonglin Wang^1,2,3，Junxu Chen^1,2，Jiawei Zhang^1,2，Xianming Tan^1,2，Muhammad Ali Raza^1,2，Jun Ma³，Yan Zhu⁴，Feng Yang^1,2，Wenyu Yang^1,2（College of Agronomy,Sichuan Agricultural University；Sichuan Engineering Research Center for Crop Strip Intercropping System；Rice Research Institute,Sichuan Agricultural University；National Engineering and Technology Center for Information Agriculture,Nanjing Agricultural University）.Assessing canopy nitrogen and carbon content in maize by canopy spectral reflectance and uninformative variable elimination[J].The Crop Journal,2022,第5期 Chao Zhang¹，Zi'ang Xie¹，Jiali Shang²，Jiangui Liu²，Taifeng Dong²，Min Tang¹，Shaoyuan Feng¹，Huanjie Cai³（College of Hydraulic Science and Engineering,Yangzhou University；Agriculture and Agri-Food Canada,Ottawa Research and Development Centre,960 Carling Avenue,Ottawa；Key Laboratory of Agricultural Soil and Water Engineering in Arid Area of Ministry of Education,Northwest A&F University）.Detecting winter canola（Brassica napus） phenological stages using an improved shape-model method based on time-series UAV spectral data[J].The Crop Journal,2022,第5期 Hui Chen¹，Yue'an Qiu¹，Dameng Yin²，Jin Chen¹，Xuehong Chen¹，Shuaijun Liu¹，Licong Liu¹（State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Science and Engineering,Faculty of Geographical Science,Beijing Normal University；Institute of Crop Sciences,Chinese Academy of Agricultural Sciences）.Stacked spectral feature space patch：An advanced spectral representation for precise crop classification based on convolutional neural network[J].The Crop Journal,2022,第5期 Jiating Li¹，Daniel P.Schachtman^2,3，Cody F.Creech⁴，Lin Wang¹，Yufeng Ge^1,3，Yeyin Shi¹（Department of Biological Systems Engineering,University of Nebraska-Lincoln,Lincoln；Department of Agronomy and Horticulture,Center for Plant Science Innovation,University of Nebraska-Lincoln,Lincoln；Center for Plant Science Innovation,University of Nebraska-Lincoln；Department of Agronomy and Horticulture,Panhandle Research and Extension Center,University of Nebraska-Lincoln,Scottsbluff）.Evaluation of UAV-derived multimodal remote sensing data for biomass prediction and drought tolerance assessment in bioenergy sorghum[J].The Crop Journal,2022,第5期 Jia Sun^1,2，Lunche Wang¹，Shuo Shi³，Zhenhai Li⁴，Jian Yang¹，Wei Gong³，Shaoqiang Wang¹，Torbern Tagesson^2,5（Key Laboratory of Regional Ecology and Environmental Change,School of Geography and Information Engineering,China University of Geoscience；Department of Physical Geography and Ecosystem Science,Lund University；State Key Laboratory of Information Engineering in Surveying,Mapping,and Remote Sensing,Wuhan University；Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs,Beijing Research Center for Information Technology in Agriculture；Department of Geosciences and Natural Resource Management,University of Copenhagen）.Leaf pigment retrieval using the PROSAIL model：Influence of uncertainty in prior canopy-structure information[J].The Crop Journal,2022,第5期 jianjun du，ying zhang，xianju lu，minggang zhang，jinglu wang，shengjin liao，xinyu guo，chunjiang zhao（Beijing Key Lab of Digital Plant,Research Center of Information Technology,Beijing Academy of Agriculture and Forestry Sciences）.A deep learning-integrated phenotyping pipeline for vascular bundle phenotypes and its application in evaluating sap flow in the maize stem[J].The Crop Journal,2022,第5期 Gamal ElMasry^1,2，Nasser Mandour¹，Yahya Ejeez¹，Didier Demilly³，Salim Al-Rejaie²，Jerome Verdier⁴，Etienne Belin^4,5，David Rousseau^4,5（Agricultural Engineering Department,Faculty of Agriculture,Suez Canal University；Groupe d’Étude et de Contrôle des Variétés et des Semences (GEVES),Station Nationale d’Essais de Semences (SNES)；Department of Pharmacology &Toxicology,College of Pharmacy,King Saud University；Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS),Université d’Angers；Institut National de la Recherche Agronomique (INRA),UMR1345 Institut de Recherche en Horticulture et Semences）.Multichannel imaging for monitoring chemical composition and germination capacity of cowpea（Vigna unguiculata） seeds during development and maturation[J].The Crop Journal,2022,第5期 Xiuliang Jin¹，Wanneng Yang²，John H.Doonan³，Clement Atzberger⁴（Institute of Crop Sciences,Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology,Ministry of Agriculture；National Key Laboratory of Crop Genetic Improvement,National Center of Plant Gene Research,Huazhong Agricultural University；The National Plant Phenomics Centre,Institute of Biological,Rural and Environmental Sciences (IBERS),Aberystwyth University；Institute of Geomatics,University of Natural Resources and Life Sciences (BOKU),Peter Jordan Straße 82）.Crop phenotyping studies with application to crop monitoring[J].The Crop Journal,2022,第5期 Alexey Stepanov¹，Konstantin Dubrovin²，Aleksei Sorokin²（Far Eastern Agriculture Research Institute，Vostochnoe；Computing Center of the Far Eastern Branch of the Russian Academy of Sciences）.Function fitting for modeling seasonal normalized difference vegetation index time series and early forecasting of soybean yield[J].The Crop Journal,2022,第5期首页上一页 1 2 3 4 5 下一页尾页共有9页，转到页

期刊文章列表