Electrical Engineering Associate professors

Zhang Baohua

Time: Sep 28, 2018  Author:  Clicks:

师资队伍/个人信息(样表)

姓 名

张保华

性别

职 称

副教授

系别

电气工程系

学 位

博士(上海交大,硕博连读)

电话

15851842701

E-mail

bhzhang@njau.edu.cn

单位地址

南京市浦口区点将台路40号

邮编

210031

研究领域

农业机器人与农业信息化技术

社会兼职

[1] 国际期刊Artificial Intelligence in Agriculture (AIIA, ISSN:2589-7217)创刊人、执行主编;

[2]Biosystems Engineering,Computers and Electronics in Agriculture等30余本国内外学术期刊的审稿人或同行评审专家;

[3] 中国农业工程学会青年委员会委员、中国农业机械学会青年工作委员会委员;中国人工智能学会、中国图形图报学会会员。

承担项目

主持国家重点研发计划子课题、江苏省自然科学基金、南京农业大学高层次引进人才科研启动经费3项,参与国家重点研发计划项目、国家科技支撑计划、国家自然科学基金、江苏省重点研发计划、中央高校基本科研业务费重点项目等10余项。

[1] 国家重点研发计划项目子课题-精准定位播种作业决策系统研究,项目编号:2017YFD0700502-2;

[2] 江苏省自然科学基金-农业机器人抓取模型辨识与柔顺抓取决策实时构建方法研究,项目编号:暂无;

[3] 南京农业大学高层次引进人才科研启动经费,项目编号:73A/0603;

[4] 江苏省重点研发计划项目-多功能自走式果园管理机器人研发,项目编号:BE2017370;

[5] 中央高校基本科研业务费重点项目-矮化密植果园偏置式除草施肥联合作业机器人研究,项目编号:KYGX201701;

[6] 中央高校基本科研业务费重点项目-车载式温室作物表型测量系统研究,项目编号:KYGX201703;

[7] 国家科技支撑计划项目-苹果产地分级处理及储运品质监测装备研发与示范,项目编号:2014BAD21B01;

[8] 国家科技支撑计划项目-哈密瓜、香梨糖度便携式检测仪研发,项目编号:2015BAD19B03-3;

[9] 国家自然科学基金-基于多光谱成像苹果表面缺陷快速检测方法研究,项目编号:31301236;

[10] 国家自然科学基金-指状青霉和意大利青霉感染的早期腐烂柑橘高光谱成像快速检测方法研究,项目编号:31401283;

[11] 国家自然科学基金-基于光谱和图像特征融合的苹果内外部多品质指标同步在线检测方法研究,项目编号:31671927。

学术成果

主要从事人工智能、机器学习、数据挖掘技术及其在农业机器人、智能农业装备、农产品品质与安全无损检测技术及装备方面的应用研究。在上述领域发表SCI论文40余篇、EI论文10余篇,ESI高被引论文多篇;获得国家发明专利授权8项、实用新型专利4项、计算机软件著作权10项,出版学术专著“图-谱分析技术在农产品质量无损评估中的应用”(武汉大学出版社,30万字,校稿中),主编国际专著“Agricultural Robots: Fundamentals and Applications” (ISBN: 978-953-51-6740-2),参编国际专著2本。

学术论文精选:

[1]Zhang Baohua, Dai Dejian, Huang Jichao, Zhou Jun*, Gui Qifa, Dai Fang.Influence of physical and biological variability and solution methods in fruit and vegetable quality non-destructive inspection by using imaging and near-infrared spectroscopy techniques: A review [J]. Critical Reviews in Food Science and Nutrition, 2017: 1-20. (SCI, IF=6.077)

[2] Wang Mengyu,Zhang Baohua*, Zhou Jun, Xiong Yingjun, Gu Baoxing. Hyperspectral imaging technology with applications in the physical, chemical, biological, and optical characteristics assessment of fruits and vegetables: A review [J]. Critical Reviews in Food Science and Nutrition, (Under review,SCI, IF=6.077)

[3]Zhang Baohua, Baoxing Gu, Guangzhao Tian, Zhou Jun*, Huang Jichao, Yingjun Xiong. Challenges and solutions of optical-based nondestructive quality inspection for robotic fruit and vegetable grading systems: A technical review [J]. Trends in Food Science & Technology, (Accept,SCI, IF=6.609)

[4]Zhang Baohua, Huang Wenqian, Liang Gong, Li Jiangbo, Zhao Chunjiang*, Liu Chengliang, Huang Danfeng. Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier [J].Journal of Food Engineering. 2015, 146: 143-151.(SCI, IF=3.199)

[5]Zhang Baohua, Huang Wenqian, Li Jiangbo, Zhao Chunjiang*, Fan Shuxiang, Wu Jitao, Liu Chengliang. Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review [J].Food Research International. 2014, 62: 326-343. (SCI, IF=3.520)

[6]Zhang Baohua, Huang Jichao, Gu Baoxing, Zhou Jun*. Computer vision estimation of the volume and weight of apples by using 3D reconstruction and non-contact measuring methods [J].Optik, (Under Review,SCI, IF=1.191)

[7]Zhang Baohua, Liu Longshen, Gu Baoxing, Zhou Jun* Huang Jichao, Tian Guangzhao.From hyperspectral imaging to multispectral imaging: Portability and stability of HSI-MSI algorithms for common defect detection, Postharvest Biology and Technology, 2018, 137: 95-105. (SCI, IF=3.248)

[8]Zhang Baohua, Fan Shuxiang, Li Jiangbo, Huang Wenqian*, Zhao Chunjiang, Qian Man, Zheng Ling. Detection of Early Rottenness on Apples by Using Hyperspectral Imaging Combined with Spectral Analysis and Image Processing [J]. Food Analytical Methods. 2015, 8: 2075-2086. (SCI, IF=2.245)

[9] Zhang Lin, Xiong Yingjun, Zhou Jun,Zhang Baohua*. Development of a robust model for nondestructive assessment of hardness of multi-cultivar blueberry by refining the selected wavelengths [J]. Food Analytical Methods, (Under review,SCI, IF=2.245)

[10]Zhang Baohua, Huang Wenqian, Wang Chaopeng, Gong Liang, Zhao Chunjiang*, Liu Chengliang*, Huang Danfeng.Computer vision recognition of stem and calyx in apples using near-infrared linear-array structured light and 3D reconstruction [J]. Biosystems Engineering. 2015, 139: 25-34. (SCI, IF=2.132)

[11]Zhang Baohua, Li Jiangbo, Fan Shuxiang, Huang Wenqian*, Zhao Chunjiang, Liu Chengliang, Huang Danfeng. Hyperspectral imaging combined with multivariate analysis and band math for detection of common defects on peaches ( Prunus persica ) [J].Computers & Electronics in Agriculture. 2015, 114: 14-24. (SCI, IF=2.427)

[12] Wu Jingui,Zhang Baohua*, Zhou Jun, Gu Baoxing, Yang Xiaolong. Automatic recognition of middle red-ripping tomatoes using improved multiple features fusion and a bi-layer classification strategy. Computers & Electronics in Agriculture, (Major Revision,SCI, IF=2.427)

[13]Zhang Baohua,Zhou Jun*,Meng Yimeng,Zhang Na,Gu Baoxing,Yin Zhenghong. Acomparative study of mechanical damages caused by a two-finger tomato gripper with different robotic grasping patterns for harvesting robots [J]. Biosystems Engineering, (Accept,SCI, IF=2.132)

[14]Zhang Baohua, Zhou Jun*, Gu Baoxing, Xiong Yingjun. State-of-the-Art of robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review. Computers & Electronics in Agriculture, (Under review,SCI, IF=2.427)

[15] Zhang Lin,Zhang Baohua*, Zhou Jun, Gu Baoxing, Tian Guangzhao.Uninformative biological variability elimination in apple soluble solids content inspection by using Fourier transform near-infrared spectroscopy combining with multivariate analysis and wavelength selection algorithm [J].Journal of Analytical Methods in Chemistry, 2017, 1-9. (SCI, IF=1.801)

[16]Zhang Baohua, Li Jiangbo, Zheng Ling, Huang Wenqian*, Fan Shuxiang, Zhao Chunjiang, Meng Qingda. Development of a Hyperspectral Imaging System for the Early Detection of Apple Rottenness Caused by Penicillium [J]. Journal of Food Process Engineering. 2015, 38: 499-509. (SCI, IF=1.955)

[17]Li Ruolan,Zhang Baohua*,Zhou Jun, Xiong Yingjun. Hyperspectral imaging with applications in the external and internal defects detection of fruits and vegetables: A review, (Un-submit,SCI, IF=1.49)

[18]Zhang Baohua, Huang Wenqian, Li Jiangbo, Zhao Chunjiang*, Liu Chengliang, Huang Danfeng, Gong Liang. Detecting of Early Rottenness in Apples Using Hyperspectral Machine Vision with Effective Wavebands [J].Sensor Letters. 2014, 12: 932-937(936). (SCI, IF=0.56)

[19]Zhang Baohua, Li Jiangbo, Huang Wenqian, Wang Chaopeng, Zhao Chunjiang*, Liu Chengliang, Huang Danfeng. A study on spectral analysis combining with image processing for lightness correction in spherical fruits by using hyperspectral imaging; proceedings of the 2015 ASABE Annual International Meeting, F, 2015 [C]. American Society of Agricultural and Biological Engineers. (EI)

[20]张保华, 黄文倩, 李江波, 赵春江*, 刘成良, 黄丹枫, 贡亮.基于高光谱成像技术和 MNF检测苹果的轻微损伤 [J]. 光谱学与光谱分析. 2014: 1367-1372. (SCI, IF=0.344)

[21]张保华, 李江波, 樊书祥, 黄文倩*, 张驰, 王庆艳, 肖广东. 高光谱成像技术在果蔬品质与安全无损检测中的原理及应用 [J]. 光谱学与光谱分析. 2014: 2743-2751. (SCI, IF=0.344)

[22]张保华, 黄文倩, 李江波, 赵春江*, 刘成良, 黄丹枫. 用高光谱成像和PCA检测苹果的损伤和早期腐烂[J]. 红外与激光工程. 2013: 279-283. (EI)

[23]张保华, 黄文倩, 李江波, 赵春江*, 刘成良, 黄丹枫. 基于I-RELIEF和SVM的畸形马铃薯在线分选 [J]. 吉林大学学报. 2014, 44: 1811-1817. (EI)

[24]张保华, 黄文倩, 李江波, 赵春江*, 刘成良, 黄丹枫. 基于亮度校正和AdaBoost的苹果缺陷在线识别 [J]. 农业机械学报. 2014, 45: 221-226. (EI)

[25]Fan Shuxiang,Zhang Baohua, Li Jiangbo, Liu Chen, Huang Wenqian*, Tian Xi. Prediction of soluble solids content of apple using the combination of spectra and textural features of hyperspectral reflectance imaging data [J]. Postharvest Biology and Technology. 2016, 121: 51-61. (SCI, IF=3.248)

[26] Fan Shuxiang,Zhang Baohua, Li Jiangbo, Huang Wenqian*, Wang Chaopeng. Effect of spectrum measurement position variation on the robustness of NIR spectroscopy models for soluble solids content of apple [J]. Biosystems Engineering. 2016, 143: 9-19. (SCI, IF=2.044)

[27] Li Jiangbo, Huang Wenqian, Zhao Chunjiang*,Zhang Baohua. A comparative study for the quantitative determination of soluble solids content, pH and firmness of pears by Vis/NIR spectroscopy [J]. Journal of Food Engineering. 2013, 116: 324-332. (SCI, IF=3.199)

[28] Li Jiangbo, Chen Liping*, Huang Wenqian, Wang Qingyan,Zhang Baohua, Tian Xi, Fan Shuxiang, Li Bin. Multispectral detection of skin defects of bi-colored peaches based on vis–NIR hyperspectral imaging [J]. Postharvest Biology and Technology. 2016, 112: 121-133. (SCI, IF=3.248)

[29] Fan Shuxiang, Huang Wenqian, Guo Zhiming,Zhang Baohua, Zhao Chunjiang*. Prediction of soluble solids content and firmness of pears using hyperspectral reflectance imaging [J]. Food analytical methods. 2015, 8: 1936-1946. (SCI, IF=2.168)

[30] Fan Shuxiang, Guo Zhiming,Zhang Baohua, Huang Wenqian*, Zhao Chunjiang. Using Vis/NIR diffuse transmittance spectroscopy and multivariate analysis to predicate soluble solids content of apple [J]. Food Analytical Methods. 2016, 9: 1333-1343. (SCI, IF=2.168)

[31] Li Jiangbo, Huang Wenqian, Chen Liping, Fan Shuxiang,Zhang Baohua, Guo Zhiming, Zhao Chunjiang*. Variable selection in visible and near-infrared spectral analysis for noninvasive determination of soluble solids content of ‘Ya’pear [J]. Food analytical methods. 2014, 7: 1891-1902. (SCI, IF=2.168)

[32] Li Jiangbo, Tian Xi, Huang Wenqian*,Zhang Baohua, Fan Shuxiang. Application of Long-Wave Near Infrared Hyperspectral Imaging for Measurement of Soluble Solid Content (SSC) in Pear [J]. Food Analytical Methods. 2016, 9: 3087-3098. (SCI, IF=2.168)

[33] Huang J. C., J. Yang,B. H. Zhang, M. Huang, K. J. Chen, X. L. Xu, and G. H. Zhou. Effect of electrical stunning frequency on meat quality, plasma parameters and protein solubility of broilers [J]. Poultry Science, DOI: 10.3382/ps/pex050, (SCI, IF=1.685)

[34] Li Jiangbo,Zhang Baohua, Zhao Chunjiang*, Huang Wenqian. Qualitative Analysis of Soluble Solid Content and Firmness of Pear Based on Successive Projections Algorithm and Least Square Support Vector Machine [J]. Sensor Letters. 2014, 12: 575-580. (SCI, IF=0.56)

[35] Zheng Ling, Zhu Dazhou,Zhang Baohua, Xiao Guangdong, Wang Cheng, Zhao Chunjiang*. Correlation Analysis of the Mechanical Property of Wheat Stalk and the Fresh Biomass [J]. Sensor Letters. 2014, 12: 924-927(924). (SCI, IF=0.56)

[36] Zheng Ling, Zhu Dazhou, Liang Dong,Zhang Baohua, Wang Cheng, Zhao Chunjiang*. Winter wheat biomass estimation based on canopy spectra [J]. International Journal of Agricultural & Biological Engineering. 2015, 8: 30-36. (SCI, IF=1.007)

[37] Liu Chen, Wang Qingyan, Huang Wenqian, Chen Liping*,Zhang Baohua, Fan Shuxiang. Comparison of Four Types of Raman Spectroscopy for Noninvasive Determination of Carotenoids in Agricultural Products [M]. Springer International Publishing, 2015. (EI)

[38] Wang Chaopeng, Huang Wenqian,Zhang Baohua, Yang Jingjing, Qian Man, Fan Shuxiang, Chen Liping*. Design and Implementation of an Automatic Grading System of Diced Potatoes Based on Machine Vision [M]. Springer International Publishing, 2015. (EI)

[39] Qian Man, Wang Qingyan, Chen Liping*, Huang Wenqian, Fan Shuxiang,Zhang Baohua. Penetration Depth of Near-Infrared Light in Small, Thin-Skin Watermelon [M]. Springer International Publishing, 2015. (EI)

[40]樊书祥,黄文倩,郭志明,张保华,赵春江*,钱曼.苹果产地差异对可溶性固形物近红外光谱检测模型影响的研究[J].分析化学. 2015: 239-244. (SCI, IF=0.554)

[41]樊书祥,黄文倩,李江波,赵春江*,张保华. LS-SVM的梨可溶性固形物近红外光谱检测的特征波长筛选[J].光谱学与光谱分析. 2014, 34: 2089-2093. (SCI, IF=0.27)

[42]李斌, Ning Wang,张伟立,赵春江*,张保华.基于太赫兹光谱技术的山核桃内部虫害检测初步研究[J].光谱学与光谱分析. 2014, 34: 1196-1200. (SCI, IF=0.27)

[43]李江波,郭志明,黄文倩,张保华,赵春江*.应用CARS和SPA算法对草莓SSC含量NIR光谱预测模型中变量及样本筛选[J].光谱学与光谱分析. 2015, 35: 372-378. (SCI, IF=0.27)

[44]钱曼,黄文倩,王庆艳,樊书祥,张保华,陈立平*.西瓜检测部位差异对近红外光谱可溶性固形物预测模型的影响[J].光谱学与光谱分析. 2016, 36: 1700-1705. (SCI, IF=0.27)

[45]田喜,黄文倩*,李江波,樊书祥,张保华.高光谱图像信息检测玉米籽粒胚水分含量[J].光谱学与光谱分析. 2016, 36: 3237-3242. (SCI, IF=0.27)

[46]肖广东,郑玲,董大明,张东彦,张保华,廖同庆*.基于长光程的土壤氧化亚氮排放规律的FTIR光谱法研究[J].光谱学与光谱分析. 2015: 3063-3067. (SCI, IF=0.27)

[47]樊书祥,黄文倩,张保华,郭志明,赵春江*.便携式苹果糖度光谱检测仪的设计与试验[J].红外与激光工程. 2014: 219-224. (EI)

[48]王超鹏,黄文倩,樊书祥,张保华,刘宸,王晓彬,陈立平*.基于高光谱成像技术与CARS算法的玉米种子含水率检测[J].激光与光电子学进展. 2016: 254-261.

[49]李江波,彭彦昆*,黄文倩,张保华,武继涛.桃子表面缺陷分水岭分割方法研究[J].农业机械学报. 2014, 45: 288-293. (EI)

[50]李江波,黄文倩,张保华,彭彦昆,赵春江*.类球形水果表皮颜色变化校正方法研究[J].农业机械学报. 2014, 45: 226-230. (EI)

授权国家发明专利或实用新型专利:

[1]张保华,刘成良,赵春江,贡亮,李彦明,黄丹枫.水果表面缺陷检测方法, 2013.06,中国,ZL201310061313.3.

[2]张保华,刘成良,贡亮,李彦明,李子枫,林昌建,郭凯峰,金理钻,邵达.基于图像处理的水果分选装置,2013.05,中国,ZL201310009241.8.

[3]刘成良,张保华,贡亮,屠珺,金理钻,李子枫,郭凯峰,林昌建.水果分选机可控旋转角度齿纹托盘装置,2013.02,中国,ZL201210505918.2.

[4]黄文倩,李江波,张保华,张驰,郭志明,王庆艳,樊书祥.基于图像处理的小型农产品分选机,2013.09,中国,CN203170604U.

[5]武继涛,黄文倩,李江波,杨晶晶,张保华,樊书祥,王超鹏.小型农产品分选系统, 2014.12,中国, CN204018236U.

[6]黄文倩,李江波,张保华,张驰,王庆艳,武继涛,樊书祥,郭志明,杨晶晶.农产品形状检测方法及装置,2014.04,中国,ZL201310747003.7.

[7]黄文倩,李江波,张保华,杨晶晶,王超鹏,樊书祥,刘宸,钱曼.一种水果果梗花萼的识别系统,2015.09,中国,CN104897671A.

[8]黄文倩,李江波,武继涛,张驰,郭志明,王庆艳,张保华,樊书祥.用于水果无损检测和称重卸料的果杯机构及水果处理系统,2014.09,中国,ZL201410150603X.

[9]李子枫,郭凯峰,张保华,林昌建,贡亮.带有连接管的机械式容积调节装置.发明专利授权号:ZL201210388986.5.

[10]林昌建,张保华,郭凯峰,等.双压气机同轴相连装置.实用新型专利授权号:CN202883099U.

[11]黄文倩,李江波,张保华,等.农产品形状检测方法及装置.发明专利授权号:ZL201310747003.7.

[12]李斌,陈立平,张保华,等.基于太赫兹光谱的肉类内部金属检测装置.发明专利公布号:CN104897671A.

[13]刘成良,李子枫,贡亮,苗中华,王双园,张保华.双行苗稀疏可调的半自动插秧机.发明专利授权号:ZL201210546073.1.

[14]张保华,宋佳昊,雷威,等.左右移动式机械调节系统.发明专利公布号:CN102913320A.

奖励荣誉

荣誉与奖励:

[1]张保华,基于机器视觉和光谱成像技术的苹果外部品质检测方法研究,上海交通大学机动学院,优秀博士学位论文,2017

[2]张保华,北京市科学技术协会,北京市青年优秀科技论文三等奖,2014

[3]张保华,教育部,博士研究生国家奖学金,2014

[4]张保华,共青团中央、全国学联,中国大学生自强之星,2010

[5]张保华,上海交通大学,研究生优秀奖学金,2013

[6]张保华,上海交通大学,柳工成绩优异奖学金,2015

[7]张保华,国家农业信息化工程技术研究中心、国家农业智能装备工程技术研究中心,研究生年度考核一等奖,2013、2014、2015、2016共四次

[8] 周兴虎,黄继超,杨静,张保华,刘冬梅,翟洋,昂云,黄明,基于生物技术的绿色传统肉制品现代化加工技术研发与产业化,江苏省科学技术协会,首届江苏省科协青年会员创新创业大赛二等奖,2016

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