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容典博士 助理研究员 | |
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学科: 职务: 研究中心: 导师类别: 毕业院校: 浙江大学 办公电话: 地址: 邮编: 邮箱: rongdian@mail.zjgsu.edu.cn |
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容典博士 助理研究员 | |
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学科: 职务: 研究中心: 导师类别: 毕业院校: 浙江大学 办公电话: 地址: 邮编: 邮箱: rongdian@mail.zjgsu.edu.cn |
本科毕业,20070630,电子信息工程,武汉理工大学,学士,电子信息工程
硕士研究生,20100630,通信与信息系统,武汉理工大学,硕士,通信与信息系统
博士研究生,20170630,生物系统工程,浙江大学,博士,生物系统工程
l 国际SCI科学研究论文
1. Rong. Dian. Impurity detection of juglans using deep learning and machine vision. 2020. Computers and Electronics in Agriculture. 2020, 178: 105553. (SCI发表),IF5: 6.757
2. Rong. Dian. Peach variety detection using VIS-NIR spectroscopy and deep learning.2020. Computers and Electronics in Agriculture. 2020, 178: 105764. (SCI发表),IF5: 6.757
3. Rong. Dian., Xie L.J., Ying Y.B. Computer vision detection of foreign objects in walnuts using deep learning. Computers and Electronics in Agriculture. 2019,162:1000-1010 (SCI发表), IF5: 6.757
4. Rong.Dian., Rao.X.Q.,Ying Y.B.Computer vision detection of surface defect on oranges by means of a sliding comparison window local segmentation algorithm. Computers and Electronics in Agriculture. 2017,137:59-68(SCI发表), IF5: 6.757
5. Rong. Dian., Rao.X.Q.,Ying Y.B. Embedded vision detection of defective orange by fast adaptive lightness correction algorithm. Computers and Electronics in Agriculture. 2017, 2017,138: 48-59 (SCI发表), IF5: 6.757
6.Adaptive compressed sensing of Raman spectroscopic profiling data for discriminative tasks,2020-05 01,TALANTA,211
1.主持浙江省重大科技项目省重点“尖兵” “研发攻关计划项目(编号:2023C01063)
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