陆明洲

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：工学博士学位
办公地点：南京农业大学滨江校区12-A811

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研究方向

计算机视觉与动物行为智能分析、养殖场景理解与无人作业系统、动物表型与数字化育种、养殖作业智能机器人等

科研论文

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陆明洲,光二颖,陈子康,王锋,张生福,熊迎军.基于双视角图像的山羊体尺自动测量方法,农业机械学报,2023,(第一及通讯作者)
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:-(通讯作者)
Li Xinzhou, Gao Junfeng, Jin Shichao, Jiang Chunxin, Zhao Mingming, Lu Mingzhou.Towards robust registration of heterogeneous multispectral UAV imagery: A two-stage approach for cotton leaf lesion grading,COMPUTERS AND ELECTRONICS IN AGRICULTURE,2023,212:-(通讯作者)
Wang, Jintao,刘龙申,陆明洲,Okinda, Cedric,Lovarelli, Daniela,Guarino, Marcella,沈明霞.The estimation of broiler respiration rate based on the semantic segmentation and video amplification,FRONTIERS IN PHYSICS,2022,(参与作者)
Wang Jintao,Lovarelli Daniela,Rota Nicola,Shen Mingxia,Lu Mingzhou,Guarino Marcella.The Potentialities of Machine Learning for Cow-Specific Milking: Automatically Setting Variables in Milking Machines,ANIMALS,2022,12(13)(参与作者)
Ding Qi-an,Liu Longshen,Lu Mingzhou,Liu Kang,Chen Jia,Shen Mingxia.Social density detection for suckling piglets based on convolutional neural network combined with local outlier factor algorithm,Computers and Electronics in Agriculture,2022,202(参与作者)
Wang Jintao,Liu Longshen,Lu Mingzhou,Okinda Cedric,Lovarelli Daniela,Guarino Marcella,Shen Mingxia.The estimation of broiler respiration rate based on the semantic segmentation and video amplification,FRONTIERS IN PHYSICS,2022,10(参与作者)
Lu Mingzhou,Liang Zhaodong,Norton Tomas,Zhang Shengfu,Shen Mingxia.Automatic Identification Method of Short-term Chewing Behaviour for Sheep Based on EfficientDet Network,Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery,2021,52(8):248-254 and 426(第一作者)
陆明洲,梁钊董,NORTON Tomas,张生福,沈明霞.基于EfficientDet网络的湖羊短时咀嚼行为识别方法,农业机械学报,2021,52(8):248-(第一及通讯作者)
梁钊董,熊兴国,徐东坡,陆明洲,沈明霞,张婉平,童奇烈.基于形状及纹理特征的淡水鱼种类自动识别方法,南京农业大学学报,2021,44(3):576-585(通讯作者)

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