徐焕良

教授博士生导师

个人信息

所在单位：人工智能学院
学历：博士研究生毕业
学位：博士学位

联系方式

邮箱：Huanliangxu@njau.edu.c

研究方向

计算农业与系统集成、计算机视觉与植物表型分析、机器学习与农业大数据技术、农产品品控与可追溯技术

科研论文

当前位置: 中文主页 - 科学研究 - 科研论文

Xie Xiaojun,Xia Fei,Wu Yufeng,Liu Shouyang,Yan Ke,Xu Huanliang,Ji Zhiwei.A Novel Feature Selection Strategy Based on Salp Swarm Algorithm for Plant Disease Detection,PLANT PHENOMICS,2023,2023(参与作者)
Zhao Qingsong,Liu Ximeng,Xu Huanliang,Li Yanbin.Practical reusable garbled circuits with parallel updates,COMPUTER STANDARDS & INTERFACES,2023,86(参与作者)
Wu Xuehui,Luo Zhiwei,Xu Huanliang.Recognition of pear leaf disease under complex background based on DBPNet and modified mobilenetV2,IET IMAGE PROCESSING,2023,17(10):3055-3067(通讯作者)
Yuan Peisen, Xu Shuning, Zhai Zhaoyu, Xu Huanliang.Phenotype Analysis of Arabidopsis thaliana Based on Optimized Multi-Task Learning,MATHEMATICS,2023,11(18):-(参与作者)
Yang Ruotong, Chen Zikang, Xu Huanliang, Shen Mingxia, Li Pinghua, Norton Tomas, Lu Mingzhou.Recognizing the rooting action of prepartum sow in free-farrowing pen using computer vision,COMPUTERS AND ELECTRONICS IN AGRICULTURE,2023,213:-(参与作者)
Yuan Peisen,Xu Shuning,Zhai Zhaoyu,Xu Huanliang.Research of intelligent reasoning system of Arabidopsis thaliana phenotype based on automated multi-task machine learning,FRONTIERS IN PLANT SCIENCE,2023,14(参与作者)
顾兴健,刘子儒,任守纲,郑恒彪,徐焕良.基于注意力机制和边缘感知的田梗提取模型,农业机械学报,2023,54(2023年05期):210-218(参与作者)
Liu Chao,Cao Yifei,Wu Ejiao,Yang Risheng,Xu Huanliang,Qiao Yushan.A Discriminative Model for Early Detection of Anthracnose in Strawberry Plants Based on Hyperspectral Imaging Technology,REMOTE SENSING,2023,15(18)(参与作者)
Cao YiFei,Xu Huanliang,Song Jin,Yang Yao,Hu Xiaohui,Wiyao Korohou Tchalla,Zhai Zhaoyu.Applying spectral fractal dimension index to predict the SPAD value of rice leaves under bacterial blight disease stress,PLANT METHODS,2022,18(1)(第一作者)
Li Yanbin, He Ziming, Gu Xingjian, Xu Huanliang, Ren Shougang.AFedAvg: communication-efficient federated learning aggregation with adaptive communication frequency and gradient sparse,JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE,2022,(参与作者)

共136条 2/14

首页上页下页尾页页

加载更多