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黄成龙

博士生导师
硕士生导师
教师姓名:黄成龙
教师拼音名称:huangchenglong
电子邮箱:
所在单位:工学院
学历:博士研究生毕业
办公地点:新工科楼201/植物表型平台附楼
学位:博士
职称:教授
毕业院校:华中科技大学
所属院系:工学院
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科研成果
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【第一或通讯作者论文】

(1)   Lu, Z., Huang, S., Zhang, X., Shi, Y., Yang, W., Zhu, L., Huang, C*(通讯作者). Intelligent identification on cotton verticillium wilt based on spectral and image feature fusion. Plant Methods, 2023, 19(1):75. https://doi.org/10.1186/s13007-023-01056-4 (IF=5.1)

(2)    Huang, S.; Lu, Z.; Shi, Y.; Dong, J.; Hu, L.; Yang, W.; Huang, C*(通讯作者).A Novel Method for Filled/Unfilled Grain Classification Based on Structured Light Imaging and Improved PointNet++. Sensors 2023, 23(14): 6331. https://doi.org/10.3390/s23146331(IF=3.847)

(3)     黄成龙*,华向东,黄诗豪,卢智浩,董佳乐,张俊,杨万能,基于Micro-CT和改进DeepSORT的再生稻再生芽追踪计数与再生力评价研究[J],农业工程学报,20233911: 165-174.EI

(4)     M. Sun, S. Huang, Z. Lu, M. Wang, S. Zhang, K. Yang, B. Tang, W. Yang, C. Huang*(通讯作者), A novel method for intelligent analysis of rice yield traits based on LED transmission imaging and cloud computing[J], Measurement, 2023, 217. doi: https://doi.org/10.1016/j.measurement.2023.113017 (IF= 5.6)

(5)     张国忠,吕紫薇,刘浩蓬,刘婉茹,龙长江,黄成龙*(通讯作者). 基于改进 DenseNet 和迁移学习的荷叶病虫害识别模型[J]. 农业工程学报,2023398):188-196.EI

(6)     黄成龙*,张忠福,卢智浩,张晓君,杨万能, 基于VFNet-ImprovedDeep Sort的棉花黄萎病病情分级[J], 智能化农业装备学报(中英文),20234(2):12-21.

(7)   Chenglong Huang, Zhongfu Zhang, Xiaojun Zhang, Li Jiang, Xiangdong Hua, Junli Ye, Wanneng Yang, Peng Song*, Longfu Zhu*, A novel intelligent system for dynamic observation of cotton verticillium wilt, Plant Phenomics,1(5): 0013, DOI: 10.34133/plantphenomics.0013. (IF= 6.961)

(8)   黄成龙,张忠福,华向东,杨俊雅,柯宇曦,杨万能基于改进Faster R-CNNDeep Sort的棉铃跟踪计数[J].农业机械学报, 2023,54(06):205-213.EI

(9)     黄成龙,柯宇曦,华向东,杨俊雅,孙梦雨,杨万能.边缘计算在智慧农业中的应用现状与展望[J].农业工程学报,2022,38(16):224-234. EI

(10) Huang C#, Li W#, Zhang Z, Hua X,Yang J, Ye J, Duan L, Liang X and Yang W*. An Intelligent Rice Yield Trait Evaluation System Based on Threshed Panicle Compensation [J]. Front. Plant Sci, 2022, 13:900408. doi: 10.3389/fpls.2022.900408 IF= 6.627

(11) Huang C, Qin Z, Hua X, Zhang Z,Xiao W, Liang X, Song P and Yang W*.An Intelligent Analysis Method for 3D Wheat Grain and Ventral Sulcus Traits Based on Structured Light Imaging [J]. Front. Plant Sci. 2022, 13:840908.doi: 10.3389/fpls.2022.840908 IF= 6.627

(12) Qin Zhijie, Zhang Zhongfu, Hua Xiangdong, Yang Wanneng, Liang Xiuying, Zhai Ruifang; Huang Chenglong*(通讯作者). Cereal grain 3D point cloud analysis method for shape extraction and filled/unfilled grain identification based on structured light imaging. Scientific reports, 2022, 12(1): 3145. ( IF= 4.997)

(13) Zhang J#, Zhao B#, Yang C, Yang C, Shi Y, Liao Q, Zhou G, Wang C, Xie T, Jiang Z, Zhang, D, Yang W, Huang C* & Xie J*(共同通讯作者). Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks [J]. Frontiers in Plant Science, 2020, 11: 617. (IF= 6.627

(14) 黄成龙, 李曜辰, 骆树康, . 基于结构光三维点云的棉花幼苗叶片性状解析方法[J]. 农业机械学报, 2019 (8): 26. EI

(15) 黄成龙,杨万能,吴迪,段凌凤*, 基于X-ray透射成像的稻穗米粒粒型及谷粒饱满度测量[J], 中国农业科技导报,2018, 20(8): 46-53. CSCD

(16) 段凌凤, , , 杨万能, 黄成龙*(通讯作者). 基于深度全卷积神经网络的大田稻穗分割[J].农业工程学报,201834(12): 202-209. EI

(17) 黄成龙, 张雪海, 吴迪, 叶军立, 杨万能*, 基于时间序列的玉米叶片性状动态提取方法研究[J]. 农业机械学报, 2017, 48(5)174-178. EI

(18) 吴迪, 杨万能, 牛智有黄成龙*(通讯作者), 小麦分蘖形态学特征 X 射线-CT 无损检测[J]. 农业工程学报[J], 2017, 33(14): 196-201. EI

(19) 吴迪,王梦坷, 杨万能, 刘谦, 黄成龙*(通讯作者),水稻表层根系性状无损测量技术研究[J]. 中国农业科技导报,2017,19(07):66-77. CSCD

(20) Huang C, Liu L, Yang W, et al. Rapid Identification of Rice Varieties by Grain Shape and Yield-Related Features Combined with Multi-class SVM[C]//Computer and Computing Technologies in Agriculture IX: 9th IFIP WG 5.14 International Conference, 2016: 390-398. EI

(21) Duan L, Yang W, Chen G, Xiong, L., & Huang, C*(通讯作者). Accurate Inference of Rice Biomass Based on Support Vector Machine[C]//Computer and Computing Technologies in Agriculture IX: 9th IFIP WG 5.14 International Conference, 2016: 356-365. EI

(22) Xuehai Zhang#, Chenglong Huang#, Di Wu, Feng Qiao, Wenqiang Li, Lingfeng Duan, Ke Wang, Yingjie Xiao, Guoxing Chen, Qian Liu, Lizhong Xiong, Wanneng Yang*, and Jianbing Yan*. High-throughput phenotyping and QTL mapping reveals the genetic architecture of maize plant growth. Plant Physiology, 2017, 173(3):01516. IF= 8.005

(23) Wanneng Yang#, Zilong Guo#, Chenglong Huang#, Lingfeng Duan#, Guoxing chen#, Ni Jiang, Wei Fang, Hui Feng, Weibo Xie, Xingming Lian, Gongwei Wang, Qingming Luo, Qifa Zhang, Qian Liu* and Lizhong Xiong*, Combining high-throughput phenotyping and genome-wide association studies to unlock the genetic architecture underlying the natural variation of rice, Nature Communications, 2014, 5: 5087. IF=16.6

(24) Chenglong Huang, Lingfeng Duan, Qian Liu, and Wanneng Yang*, Development of a whole-feeding and automatic rice thresher for single plant, Mathematical and Computer Modelling, 2013, 58: 684-690. IF= 1.9

(25) Chenglong Huang, Wanneng Yang, Lingfeng Duan, Ni Jiang, Guoxing Chen, Lizhong Xiong, and Qian Liu*, Rice panicle length measuring system based on dual-camera imaging, Computers and Electronics in Agriculture, 2013, 98:158-165. IF= 6.757

 

【发明专利与软件著作权】

1.黄成龙、杨万能、段凌凤、冯慧、刘立豪、骆树康; 一种基于大视野X射线可见光配准成像的水稻稻穗性状全自动提取系统, 2019-1-5, 中国, ZL 201910034601.7

2.黄成龙、杨万能、冯慧、段凌凤、刘立豪;一种基于Led-红光透射成像的水稻稻穗性状智能分析系统, 2018-12-1, 中国, ZL 201811485818.1

3.黄成龙、卢智浩、黄诗豪;基于机器学习的棉花光谱数据处理和建模一体化软件V1.0,2023.07.11,2023SR1043226.

4.黄成龙、卢智浩;基于改进YOLOV7的作物多品种考种软件V1.0,2023.10.19,2023SR1264108

5.黄成龙、覃志杰; 基于作物籽粒三维点云的粒型特征自动提取分析软件V1.0, 2021-03-21, 2021SR1319870.

6.黄成龙、黄诗豪;基于三维点云的小麦籽粒腹沟3D表型及粒重测量软件V1.0,2022-06-01,2022SR0874174.

7.杨万能、黄成龙、李为坤、叶军立、宋鹏、段凌凤、冯慧、陈国兴、熊立仲;基于AI云计算的水稻全自动脱粒及产量分析系统, 2020-12-10, 中国, ZL202011499153.7

8.杨万能、黄成龙、冯慧、段凌凤、陈国兴、熊立仲;水稻稻穗表型参数自动测量和穗重预测方法, 2017-10-24, 中国, ZL201510457927.2