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学术动态

世界顶尖涉农大学交流合作提升项目“农业机器人作物多模态智能感知技术”在线系列课程

发布日期:2022-09-23    浏览次数:

报告题目:

Research progress of intelligent agriculture based on deep learning and robotics(基于深度学习和机器人的智慧农业研究进展)

报告人:

Dr. Yongliang Qiao, Research Fellow at the Australian Centre for Field Robotics, The University of Sydney, Australia (澳大利亚悉尼大学-澳大利亚室外机器人研究中心,研究员)

 

报告时间:

北京时间20220927日(星期二) 16:00-18:00

 

线上报告接入方式:

腾讯会议 (VooV Meeting) 会议 ID493 772 431

 

联系人:

苏道毕力格 sudao@cau.edu.cn

欢迎各位老师同学线上参加。

 

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Seminar Topics

Research progress of intelligent agriculture based on deep learning and robotics

 

International Experts

Dr. Yongliang Qiao, Research Fellow at the Australian Centre for Field Robotics, The University of Sydney, Australia

 

Time

Beijing Time (UTC +8:00) June 9th, 2021 (Wednesday) 4:00PM-6:00PM

 

Online Meeting

VooV Meeting, Meeting ID493 772 431

 

Contact

Daobilige Su sudao@cau.edu.cn

 

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摘要(Abstracts):

 

Research progress of intelligent agriculture based on deep learning and robotics

With the growth of population and the increase of agriculture, how to improve the total number of animals and agricultural production efficiency through mechanization and availability under limited significance and resources, and the total output of human beings, has become an important significance for the development of intelligent animal husbandry in the future. For key issues such as environmental issues, information, and agricultural decision-making reported by directional intelligence in non-animal environments, in-depth learning of grass detection and animal intelligence farming is presented. research progress.

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简介(Bios:

 

个人简介:乔永亮本科和硕士毕业于西北农林科技大学, 硕士毕业后,赴法留学, 2017 4 月在法国勃艮第-弗朗什-孔泰大学获得博士学位。博士毕业后,进入悉尼大学澳大利亚场地机器人中心(ACFR)工作。研究方向农业机器人、人工智能、智能感知、图像处理和农业信息化。以第一作者或者通讯作者在IEEE Transactions on Industrial InformaticsComputers and Electronics in AgricultureBiosystems EngineeringTransactions of the ASABEIEEE/ASME Transactions on Mechatronics等期刊发表论文15篇。担任Frontier in Plant science副主编,智慧农业期刊青年编委,国际农业自动化技术委员会委员。




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