231Intelligent alerting for fruit-melon lesion image based on momentum deep learning

作者： Tan, Wenxue; Tan, Wenxue; Zhao, Chunjiang; Wu, Huarui; SCI

机构： Beijing Univ Technol, Coll Comp Sci, Beijing 100022, Peoples R China; Hunan Univ Arts & Sci, Changde 415000, Peoples R China; Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China;

来源：MULTIMEDIA TOOLS AND APPLICATIONS

关键词： Lesion image CNN Deep network Momentum learning Intelligent alerting

232Effective detection of benzoyl peroxide in flour based on parameter selection of Raman hyperspectral system

作者： Wang, Xiaobin; Zhao, Chunjiang; Wang, Xiaobin; Zhao, Chunjiang; Huang, Wenqian; Wang, Qingyan; Liu, Chen; Yang, Guiyan; Wang, Xiaobin; Zhao, Chunjiang; Huang, Wenqian; Wang, Qingyan; Liu, Chen; Yang, Guiyan; Wang, Xiaobin; Zhao, Chunjiang; Huang, Wenqian; Wang, Qingyan; Liu, Chen; Yang, Guiyan; Wang, Xiaobin; Zhao, Chunjiang; Huang, Wenqian; Wang, Qingyan; Liu, Chen; Yang, Guiyan; SCI

机构： Shenyang Agr Univ, Coll Informat & Elect Engn, Shenyang, Peoples R China; Beijing Res Ctr Intelligent Equipment Agr, Intelligent Detect Dept, Beijing, Peoples R China; Natl Res Ctr Intelligent Equipment Agr, Intelligent Detect Dept, Beijing, Peoples R China; Natl Res Ctr Intelligent Equipment Agr,;

来源：SPECTROSCOPY LETTERS

关键词： Benzoyl peroxide flour penetration depth Raman hyperspectral system spatial resolution

年份：2017

233Non-uniform vertical nitrogen distribution within plant canopy and its estimation by remote sensing: A review

作者： Li, Heli; Zhao, Chunjiang; Huang, Wenjiang; Yang, Guijun; Li, Heli; Huang, Wenjiang; SCI

机构： Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China; Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China;

来源：FIELD CROPS RESEARCH

关键词： Vertical N distribution Non-uniform Plant canopies Remote sensing Review

年份：2013

234A first-principles study on the interaction of biogas with noble metal (Rh, Pt, Pd) decorated nitrogen doped graphene as a gas sensor: A DFT study

作者： Zhao, Chunjiang; Wu, Huarui; Zhao, Chunjiang; Wu, Huarui; Zhao, Chunjiang; Wu, Huarui; SCI

机构： Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China; Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China; Minist Agr, Key Lab Informat Technol Agr, Beijing 100097, Peoples R China;

来源：APPLIED SURFACE SCIENCE

关键词： Pyridine-like nitrogen doped graphene Noble metal (Rh, Pt, Pd) Decorated Biogas Adsorption intensity Gas sensor

年份：2018

235Quantitative analysis of BPO additive in flour via Raman hyperspectral imaging technology

作者： Wang, Xiaobin; Huang, Wenqian; Zhao, Chunjiang; Wang, Qingyan; Liu, Chen; Yang, Guiyan; Wang, Xiaobin; Huang, Wenqian; Zhao, Chunjiang; Wang, Qingyan; Liu, Chen; Yang, Guiyan; Wang, Xiaobin; Huang, Wenqian; Zhao, Chunjiang; Wang, Qingyan; Liu, Chen; Yang, Guiyan; Wang, Xiaobin; Huang, Wenqian; Zhao, Chunjiang; Wang, Qingyan; Liu, Chen; Yang, Guiyan; Wang, Xiaobin; Zhao, Chunjiang; SCI

机构： Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China; Natl Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China; Minist Agr, Key Lab Agri Informat, Beijing 100097, Peoples R China; Minist Agr, Key Lab Agri Informat, Beijing 100097, Peoples R C;

来源：EUROPEAN FOOD RESEARCH AND TECHNOLOGY

关键词： Raman hyperspectral imaging technology Flour BPO additive Quantitative analysis

236Variations in crop variables within wheat canopies and responses of canopy spectral characteristics and derived vegetation indices to different vertical leaf layers and spikes

作者： Li, Hell; Zhao, Chunjiang; Yang, Guijun; Feng, Haikuan; SCI

机构： Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China;

来源：REMOTE SENSING OF ENVIRONMENT

关键词： Crop variables Vertical layers Plant modules Reflectance spectra Vegetation indices

237Discriminating Wheat Aphid Damage Degree Using 2-Dimensional Feature Space Derived from Landsat 5 TM

作者： Luo, Juhua; Zhao, Chunjiang; Huang, Wenjiang; Zhang, Jingcheng; Zhao, Jinling; Dong, Yingying; Yuan, Lin; Luo, Juhua; Du, Shizhou; SCI

机构： Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China; Beijing Normal Univ, Coll Geog & Remote Sensing Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China; Anhui Acad Agr Sci, Crops Res Inst, Hefei 230031, Anhui, Peoples R China;

来源：SENSOR LETTERS

关键词： Aphid Winter Wheat Land Surface Temperature (LST) Modified Normalized Difference Water Index (MNDWI) Normalized Difference Water Index (NDWI) Landsat 5 TM

238Nanomaterials-Based Electrochemical Sensors and Biosensors for Pesticide Detection

作者： Xiang, Ling; Zhao, Chunjiang; Wang, Jihua; Xiang, Ling; Wang, Jihua; SCI

机构： Beijing Res Ctr Agrifood Testing & Farmland Monit, Beijing 100097, Peoples R China; Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China;

来源：SENSOR LETTERS

关键词： Nanomaterials Electrochemical Biosensors Pesticide Detection

239Estimation of vertical distribution of chlorophyll concentration by bi-directional canopy reflectance spectra in winter wheat

作者： Huang, Wenjiang; Wang, Zhijie; Ma, Zhihong; Zhang, Jincheng; Wang, Jihua; Zhao, Chunjiang; Huang, Wenjiang; Huang, Wenjiang; Lamb, David W.; Wang, Zhijie; Huang, Linsheng; SCI

机构： Beijing Acad Agr & Forestry Sci, Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China; Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; Beijing Normal Univ, Beijing 100101, Peoples R China; Univ New England, Sch Sci & Technol, Precis Agr Res Grp, Armidale, NSW 2351, Australia; Univ Lethbridge, Dept Phys & Astron, Lethbridge, AB T1K 3M4, Canada; Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Pro;

来源：PRECISION AGRICULTURE

关键词： winter wheat. Bi-directional reflectance difference function Chlorophyll concentration Vertical distribution Canopy chlorophyll inversion index Internet resource.

240Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier

作者： Zhang, Baohua; Gong, Liang; Zhao, Chunjiang; Liu, Chengliang; Huang, Danfeng; Zhang, Baohua; Huang, Wenqian; Li, Jiangbo; Zhao, Chunjiang; SCI

机构： Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China; Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China;

来源：JOURNAL OF FOOD ENGINEERING

关键词： Computer vision Defective apple detection Lightness correction Weighted RVM Image processing