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傅隆生

          发布日期:2022-06-09     浏览次数:

     

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博士、教授、博士生导师

西北农林科技大学,机械与电子工程学院

陕西省杨凌示范区西农路22号机电学院

邮编:712100

电话:029-87092391

Email:fulsh@nwafu.edu.cn,longsheng.fu@outlook.com

Webpage: https://fu3lab.wordpress.com/


一、教育背景

2009.01-2012.03,北海道大学(Hokkaido University),环境资源学,博士

2006.09-2009.01,中国农业大学,农业电气化与自动化,硕士

2002.09-2006.07,中国农业大学,电子信息工程,学士(北京地区优秀毕业生)

二、工作经历

2017.08-2019.08,华盛顿州立大学(WashingtonStateUniversity),博士后研究

2012.06--至今,西北农林科技大学,讲师/副教授/教授(陕西省普通高等学校青年杰出人才)

2012.04-2013.03,北海道大学(Hokkaido University),专门研究员

2009.12-2011.10,北海道大学可持续发展学教育研究中心(Center for Sustainability Science, Hokkaido University),研究助理

2007.07-2008.01,北京凌云光子集团,实习软件工程师

三、学术兼职

副主编,SCI一区期刊《Computers and Electronics in Agriculture》(IF:5.565)

编委,中国科技期刊卓越行动计划《Information Processing in Agriculture》(EI收录,CN10-1751/S)

编委,Elsevier期刊《Smart Agricultural Technology》

青年编委,《智慧农业》期刊

GuestEditor,Frontiers inPlantScience

GuestEditor,Agronomy

四、研究经历

主要研究方向为智慧农业技术与装备,以第一作者或通讯作者在Computers and Electronics in Agriculture、Precision Agriculture、Biosystems Engineering、Journal of Food Engineering、International Journal of Agricultural and Biological Engineering、农业机械学报、食品科学、农业工程学报等期刊上发表SCI/EI等论文30余篇,获发明专利6项、国际发明专利1项。

主持国家自然科学基金面上项目和青年项目、陕西省重点研发计划特色产业创新链(群)项目、教育部留学回国人员科研启动基金、中国博士后基金、陕西省自然基金、科技部高端外国专家引进计划、西北农林科技大学国际合作种子基金、王同川创业创新基金等。

五、社会公益

兼任全国农业机械标准化技术委员会农业电子分技术委员会(SAC/TC201/SC6)、中国作物学会智慧农业分委会、中国农业机械学会基础技术分会、中国农业机械学会人工智能分会、中国农业机械学会青年委员会、中国农业工程学会农业电气化与信息化分会、中国农业工程学会青年科技委员会、国际自动控制联合会(IFAC)8.1 Control in Agriculture专委会、美国农业与生物工程师协会(ASABE)MS-48 Specialty Crop Engineering分会等多个行业技术团体的委员。

兼任榆林市科技特派员、西安市现代农业产业技术服务体系岗位专家、中国留日学人联谊会理事、陕西省侨联青年委员、西北农林科技大学归国华侨联合会委员会青年委员。

承担国家自然科学基金通讯评议、教育部学位与研究生教育发展中心通讯评议工作。

承担Computers and Electronics in Agriculture、Biosystems Engineering、Transactions of the ASABE、Precision Agriculture、IEEE Transactions on Industrial Informatics、Computers in Industry、农业工程学报、光谱学与光谱分析、食品科学、中国农业大学学报等50余个期刊的审稿任务。获Computers and Electronics in Agriculture、Biosystems Engineering、Computers in Industry、IJABE、农业工程学报的“Outstanding Contribution in Reviewing”荣誉。

六、开设课程

《图像处理与机器视觉》(全英文)、《智慧农业技术》、《数字电子技术》、《电子技术》、《电路》、《C++程序设计》、《电子技术课程设计》、《电子技术实验》、《机电系统课程设计》

七、学术成果及代表性文章

1、代表性论文(*表示通讯作者)

2022年

[1] Zhenchao Wu, Guo Li, Ruizhe Yang, Longsheng Fu*, Rui Li, Shaojin Wang. Coefficient of restitution of kiwifruit without external interference. Journal of Food Engineering, 2022, 327, 111060.(Top期刊)

[2] Fangfang Gao, Wentai Fang, Xiaoming Sun, Zhenchao Wu, Guanao Zhao, Guo Li, Rui Li, Longsheng Fu*, Qin Zhang. A novel apple fruit detection and counting methodology based on deep learning and trunk tracking in modern orchard. Computers and Electronics in Agriculture. 2022, 197, 107000.(Top期刊)

[3] Leilei He, Wentai Fang, Guanao Zhao, Zhenchao Wu, Longsheng Fu*, Rui Li, Yaqoob Majeed, Jaspreet Dhupia. Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods. Computers and Electronics in Agriculture. 2022, 195, 106812.(Top期刊)

[4] Guo Li, Rui Suo, Guanao Zhao, Changqing Gao, Longsheng Fu*, Fuxi Shi, Jaspreet Dhupia, Rui Li, Yongjie Cui. Real-time detection of kiwifruit flower and bud simultaneously in orchard using YOLOv4 for robotic pollination. Computers and Electronics in Agriculture, 2022, 193, 106641.(Top期刊)

2021年

[5] Longsheng Fu*, Yali Feng, Jingzhu Wu, Zhihao Liu, Fangfang Gao, Yaqoob Majeed, Ahmad Al-Mallahi, Qin Zhang, Rui Li, Yongjie Cui. Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model. Precision Agriculture, 2021, 22(3): 754-776.(Top期刊)

[6] Zhenchao Wu, Ruizhe Yang, Fangfang Gao, Wenqi Wang, Longsheng Fu*, Rui Li. Segmentation of abnormal leaves of hydroponic lettuce based on DeepLabV3+for robotic sorting. Computers and Electronics in Agriculture, 2021, 190, 106443.(Top期刊)

[7] Yongjie Cui, Wenqi Wang, Minghui Wang, Yidong Ma, Longsheng Fu*. Effects of cutter parameters on shearing stress for lettuce harvesting using a specially developed fixture. International Journal of Agricultural and Biological Engineering, 2021, 14(4): 152-158.

[8] Rui Suo, Fangfang Gao, Zhongxian Zhou, Longsheng Fu*, Zhenzhen Song. Improved multi-classes kiwifruit detection in orchard to avoid collisions during robotic picking. Computers and Electronics in Agriculture, 2021, 182: 106052.(Top期刊)

[9] 高芳芳, 武振超, 索睿, 周忠贤, 李瑞, 傅隆生*, 张昭. 基于深度学习与目标跟踪的苹果检测与视频计数方法[J]. 农业工程学报, 2021, 37(21): 217-224.

[10]Zhenzhen Song, Zhongxian Zhou, Wenqi Wang, Fangfang Gao, Longsheng Fu*, Rui Li, Yongjie Cui. Canopy segmentation and wire reconstruction for kiwifruit robotic harvesting. Computers and Electronics in Agriculture, 2021, 181: 105933.(Top期刊)

2020年

[11]Zhongxian Zhou, Zhenzhen Song, Longsheng Fu*, Fangfang Gao, Rui Li, Yongjie Cui. Real-time kiwifruit detection in orchard using deep learning on Android™ smartphones for yield estimation. Computers and Electronics in Agriculture, 2020, 179: 105856. (Top期刊)

[12] Longsheng Fu*, Fangfang Gao, Jingzhu Wu, Rui Li, ManojKarkee*, Qin Zhang. Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review. Computers and Electronics in Agriculture, 2020, 177: 105687. (Top期刊)

[13] Longsheng Fu*, Yaqoob Majeed, Xin Zhang, ManojKarkee, Qin Zhang. Faster R-CNN-based apple detection in dense-foliage fruiting-wall trees using RGB and depth features for robotic harvesting. Biosystems Engineering, 2020, 197: 245-256.(ESI高被引论文、Top期刊)

[14] Fangfang Gao, Longsheng Fu*, Xin Zhang, Yaqoob Majeed, Rui Li, ManojKarkee, Qin Zhang. Multi-class fruit-on-plant detection for apple in SNAP system using Faster R-CNN. Computers and Electronics in Agriculture, 2020, 176: 105634.(Top期刊)

[15] Zhihao Liu, Jingzhu Wu, Longsheng Fu*, Yaqoob Majeed, Yali Feng, Rui Li, Yongjie Cui. Improved kiwifruit detection using pre-trained VGG16 with RGB and NIR information fusion. IEEE Access, 2020, 8(1): 2327-2336.(ESI高被引论文)

[16] 傅隆生*, 宋珍珍, Zhang Xin, 李瑞, 王东, 崔永杰. 深度学习方法在农业信息中的研究进展与应用现状[J]. 中国农业大学学报, 2020, 25(2): 105-120.

[17] Yaqoob Majeed, Jing Zhang, Xin Zhang, Longsheng Fu, ManojKarkee, Qin Zhang*, Matthew D Whiting. Deep learning based segmentation for automated training of apple trees on trellis wires. Computers and Electronics in Agriculture, 2020, 170, 105277.

[18] Yaqoob Majeed, ManojKarkee, Qin Zhang*, Longsheng Fu, Matthew D Whiting. Determining grapevine cordon shape for automated green shoot thinning using semantic segmentation-based deep learning networks. Computers and Electronics in Agriculture, 2020, 171, 105308.

[19] Jing Zhang, ManojKarkee, Qin Zhang, Xin Zhang, Yaqoob Majeed,Longsheng Fu,Shumao Wang. Multi-class object detection using Faster R-CNN and estimation of shaking locations for automated shake-and-catch apple harvesting. Computers and Electronics in Agriculture, 2020, 173, 105384.

2019年

[20] Zhenzhen Song, Longsheng Fu*, Jingzhu Wu, Zhihao Liu, Rui Li, Yongjie Cui. Kiwifruit detection in field images using Faster R-CNN with VGG16. IFAC-PapersOnLine, 2019, 52(30): 76–81.

[21] Longsheng Fu, Elkamil Tola, Ahmad Al-Mallahi, Rui Li, Yongjie Cui*. A novel image processing algorithm to separate linearly clustered kiwifruits. Biosystems Engineering, 2019, 183: 184-195.(ESI高被引论文)

[22] Xin Zhang, Longsheng Fu, ManojKarkee, Matthew D Whiting, Qin Zhang*. Canopy segmentation using ResNet for mechanical harvesting of apples. IFAC-PapersOnLine, 2019, 52(30), 300–305.

[23] Yaqoob Majeed, ManojKarkee, Qin Zhang*, Longsheng Fu, Matthew D Whiting. A study on the detection of visible parts of cordons using deep learning networks for automated green shoot thinning in vineyards. IFAC-PapersOnLine, 2019, 52(30): 82–86.

[24] 穆龙涛, 高宗斌, 崔永杰*, 李凯, 刘浩洲, 傅隆生. 基于改进AlexNet的广域复杂环境下遮挡猕猴桃目标识别. 农业机械学报, 2019, 50(10), 24–34.

[25] 马义东,王明辉,崔永杰*,傅隆生,王文奇,徐灿.水培生菜自动纵向包装装置设计与试验.农业机械学报,2019,50(9):113-121.

[26] 马义东,徐灿,崔永杰*,傅隆生,刘浩洲,杨晨.水培生菜整株低损收获装置设计与试验.农业机械学报,2019,50(1):162-169.

2018年

[27] 傅隆生, 冯亚利, Elkamil Tola, 刘智豪, 李瑞, 崔永杰. 基于卷积神经网络的田间多簇猕猴桃图像识别方法[J]. 农业工程学报, 2018, 34(2): 205-211. (2019获“中国农业工程学会40周年优秀论文奖”、2020年入选领跑者5000中国精品科技期刊顶尖学术论文、2021年中国科技期刊农林学科年度优秀论文二等奖)

[28] Longsheng Fu*, Zhihao Liu, Yaqoob Majeed, Yongjie Cui. Kiwifruit yield estimation using image processing by an Android mobile phone. IFAC-PapersOnLine, 2018, 51(17): 185–90.

[29] Longsheng Fu*, Yali Feng, Yaqoob Majeed, Xin Zhang, Jing Zhang, ManojKarkee, Qin Zhang. Kiwifruit detection in field images using Faster R-CNN with ZFNet. IFAC-PapersOnLine, 2018, 51(17): 45–50.

[30] Xin Zhang, Longsheng, Fu, Yaqoob Majeed, Long He, ManojKarkee, Matthew D Whiting, Qin Zhang*. Field evaluation of data-based pruning severity levels (PSL) on mechanical harvesting of apples. IFAC-PapersOnLine, 2018, 51(17), 477–482.

[31] Yaqoob Majeed, Jing Zhang, Xin Zhang, Longsheng Fu, ManojKarkee, Qin Zhang*, Matthew D Whiting. Apple tree trunk and branch segmentation for automatic trellis training using convolutional neural network based semantic segmentation. IFAC-PapersOnLine, 2018, 51(17), 75–80.

[32] Longtao Mu, Haozhou Liu, Yongjie Cui*, Longsheng Fu, Yoshinori Gejima. Mechanized technologies for scaffolding cultivation in the kiwifruit industry: A review. Information Processing in Agriculture, 2018, 5(4), 401–410.

2017年

[33] Jun Peng, HongqiXie, Yali Feng, Longsheng Fu*, Shipeng Sun, Yongjie Cui. Simulation study of vibratory harvesting of Chinese winter jujube (Zizyphusjujuba Mill. cv. Dongzao). Computers and Electronics in Agriculture, 2017, 143: 57-65.

[34] Longsheng Fu, Ahmad Al-Mallahi, Jun Peng, Shipeng Sun, Yali Feng, Rui Li, Dongjian He, Yongjie Cui*. Harvesting technologies for Chinese jujube fruits: A review. Engineering in Agriculture, Environment and Food, 2017, 10(3): 171-177

[35] Longsheng Fu,Ahmad Al-Mallahib, Jun Peng, Shipeng Sun,Yali Feng, Rui Li, Dongjian He,Yongjie Cui. Harvesting technologies for Chinese jujube fruits: A review. Engineering in Agriculture, Environment and Food. 2017, 10(3): 171-177.

[36] 彭俊, 谢洪起, 冯亚利, Vazquez-Arellano Manuel, 李瑞, 傅隆生*. 冬枣压缩特性试验与计算仿真研究[J]. 食品科学, 2017, 38(17): 20-25.

[37] 彭俊, MANUEL Vázquez-Arellano, 孙世鹏, 李瑞, 杨有刚, 崔永杰, 傅隆生*. 冬枣果实物理参数与生物特性研究[J]. 中国农业大学学报, 2017, 22(8): 95-100.

[38] 傅隆生, 孙世鹏, Vázquez-Arellano Manuel, 李石峰, 李瑞, 崔永杰*. 基于果萼图像的猕猴桃果实夜间识别方法[J]. 农业工程学报, 2017, 33(2): 199-204.

[39] 孙世鹏, 彭俊, 李瑞, 朱兆龙, Vázquez-Arellano MANUEL, 傅隆生*. 基于近红外高光谱图像的冬枣损伤早期检测[J]. 食品科学, 2017, 38(2): 301-305.

[40] 李瑞, 傅隆生*. 基于高光谱图像的蓝莓糖度和硬度无损测量[J]. 农业工程学报, 2017, 33(z1): 362-366.

2016年

[41] Rui Li, Jun Peng, Shipeng Sun, Ahmad Al-Mallahi, Longsheng Fu*. Determination of selected physical and mechanical properties of Chinese jujube fruit and seed. Agricultural Engineering International: CIGR Journal, 2016, 18(3): 294-300.

[42] Longsheng Fu, Shipeng Sun, Rui Li, Shaojin Wang*. Classification of kiwifruit grades based on fruit shape using a single camera. Sensors, 2016, 16(7), 1012.

[43] Longsheng Fu, Jun Peng, Qiang Nan, Dongjian He, Yougang Yang, Yongjie Cui*. Simulation of vibration harvesting mechanism for sea buckthorn. Engineering in Agriculture, Environment and Food, 2016, 9(1): 101-108.

2015年

[44] Longsheng Fu, Bin Wang, Yongjie Cui*, Yoshinori Gejima, Kobayashi Taiichi. Kiwifruit recognition at nighttime using artificial lighting based on machine vision. International Journal of Agricultural and Biological Engineering, 2015, 8(4): 52-59.

[45] 傅隆生, 张发年, 槐岛芳德, 李桢, 王滨, 崔永杰*. 猕猴桃采摘机器人末端执行器设计与试验[J].农业机械学报,2015,46(3):1-8.

2014年

[46] Longsheng Fu, HuidanSu, Rui Li, Yongjie Cui*. Harvesting technologies for sea buckthorn fruit. Engineering in Agriculture, Environment and Food, 2014, 7(2): 64-69.

[47] Longsheng Fu, Hiroshi Okamoto*, Youichi Shibata, Takashi Kataoka, Yongjie Cui, Rui Li. Distinguishing overripe berries of Japanese blue honeysuckle using hyperspectral imaging analysis. Engineering in Agriculture, Environment and Food, 2014, 7(1): 22-27.

[48] 傅隆生, 宋思哲, 邵玉玲, 李平平, 王海峰, 崔永杰. 基于主成分分析和聚类分析的猕猴桃品质指标综合评价[J]. 食品科学, 2014, 35(19): 6-10.

[49] 崔永杰, 王霞霞, 徐立青, 陈同,李少华, 傅隆生. 基于机器视觉的嫁接用苗外观特征自动检测[J].农业机械学报,2014,45(4):89-95.

2012年

[50] Longsheng Fu*, Hiroshi Okamoto, Yoichiro Hoshino, Takashi Kataoka, Youichi Shibata. 日本高灌蓝莓采收最适线锯振动速度[J]. 农业工程, 2012, 2(2), 119-121.(被选录翻译刊登)2012-02-20

2011年

[51] Longsheng Fu*, Hiroshi Okamoto, Yoichiro Hoshino, Yuu Esaki, Takashi Kataoka, Youichi Shibata. Efficient harvesting of Japanese blue honeysuckle. Engineering in Agriculture, Environment and Food, 2011, 4(1): 12-17.

[52] Longsheng Fu*, Hiroshi Okamoto, Yoichiro Hoshino, Takashi Kataoka, Youichi Shibata. Optimal vibrating speed of jigsaw for harvesting high-bush blueberry in Japan. International Agricultural Engineering Journal, 2011, 20(4): 1-7.

[53] Longsheng Fu*, Hiroshi Okamoto, Takashi Kataoka, Youichi Shibata. Color based classification for berries of Japanese blue honeysuckle. International Journal of Food Engineering, 7(4): Article 5.

2、发明专利

[1] 傅隆生, 等. 一种振动式果实采摘器. 专利号:ZL201310412642.8, 授权公告日:2015-12-09.

[2] 傅隆生, 等. 气吸式沙棘果实采收装置. 专利号:ZL201310711085.X, 授权公告日:2016-04-27.

[3] 傅隆生, 等. 基于高光谱图像的过熟蓝靛果果实识别方法. 专利号:ZL201310463530.5, 授权公告日:2016-08-31.

[4] 傅隆生, 等. 基于人体红外传感器的智能吊扇及其控制方法. 专利号:ZL201510443661.6, 授权公告日:2017-11-28.

[5] 傅隆生, 等. 一种振幅可连续调节的振动式收获机传动机构. 专利号:ZL201510656747.7, 授权公告日:2018-08-14.

[6] 傅隆生, 谢洪起, 李瑞. 基于Kinect相机的果实尺寸检测方法. 专利号:ZL201710563300.4, 授权公告日:2020-06-09.

3、实用新型专利

[1] 傅隆生, 等. 基于马刀锯的机械振动式果实采摘器. 专利号:ZL201220685438.4, 授权公告日:2013-08-14.

[2] 傅隆生, 等. 基于曲线锯的振动式果实采摘器. 专利号:ZL201320120878.X, 授权公告日:2013-09-11.

[3] 傅隆生, 等. 一种振动式果实采摘器. 专利号:ZL201320564621.3, 授权公告日:2014-04-02.

[4] 傅隆生, 等. 气吸式沙棘果实采收装置. 专利号:ZL201320851706.X, 授权公告日:2014-07-30.

[5] 傅隆生, 等. 基于电动车电池组和往复式电锯的果实振动采摘系统. 专利号:ZL201420865446.6, 授权公告日:2015-06-03.

[6] 傅隆生, 等. 基于电锯的频率可调的实验用振动装置. 专利号:ZL201520022307.1, 授权公告日:2015-09-16.

[7] 傅隆生, 等. 基于单片机的实验用光照无线调节系统. 专利号:ZL201520563785.3, 授权公告日:2015-11-25.

[8] 傅隆生, 等. 一种猕猴桃传送分级装置. 专利号:ZL201520323970.5, 授权公告日:2015-12-09.

[9] 傅隆生, 等. 基于推拉力计的果实跌落冲击力测试平台. 专利号:ZL2015208730801, 授权公告日: 2016-03-09.

[10] 傅隆生, 等. 一种频幅可调的小果振动采摘机. 专利号:2015207931108, 授权公告日:2016-03-30.

[11] 傅隆生, 等. 一种果实振动采摘用的整行收集装置. 专利号:ZL201620119353.8, 授权公告日:2016-05-20.

[12] 傅隆生, 等. 一种自适应调整的图像采集装置. 专利号:ZL201521138726.8, 授权公告日:2016-05-03.

[13] 傅隆生, 等. 一种猕猴桃采摘抓持力的测量装置. 专利号:ZL2017208939587, 授权公告日:2018-02-02.

[14] 傅隆生, 等. 一种猕猴桃采摘机器人的末端执行器. 专利号:ZL2017217476461, 授权公告日:2018-07-10.

[15] 傅隆生, 等. 一种气吸式苹果采收机器人.专利号:ZL2017215794135, 授权公告日:2018-07-20.

[16] 傅隆生, 等. 一种手持式芒果采摘器. 专利号:ZL2018217038724, 授权公告日:2019-06-14.

4、软件著作权

[1] 傅隆生, 等. 基于高光谱图像的果实分类软件. 登记号:2014SR000496, 2014-01-02.

[2] 傅隆生, 等. 基于图像处理的蓝靛果分类软件. 登记号:2014SR048766, 2014-04-24.

[3] 傅隆生, 等. 基于单摄像头和称重传感器的猕猴桃分级系统. 登记号:2015SR145906, 2015-07-29.

[4] 傅隆生, 等. 基于图像处理的海沃德猕猴桃体积测量软件. 登记号:2015SR161426, 2015-08-20.

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