• 您的浏览器版本太低,请使用IE9(或以上)、谷歌、火狐等现代浏览器。360、搜狗等浏览器请使用高速模式。

    学术动态

    2020国际制导、导航与控制学术会议智能农业无人系统特邀专题征稿启事

    发布日期:2020-01-03   浏览次数:

    主题:2020国际制导、导航与控制学术会议智能农业无人系统特邀专题征稿启事

    英文全称:2020 International Conference on Guidance, Navigation and Control (ICGNC), Intelligent Agricultural Unmanned Systems Session, http://icgnc.buaa.edu.cn

    时间:202087日至89

    地点:中国天津

    主办方:中国航空学会制导、导航与控制分会(CSAA TCGNC)、飞行器控制一体化技术重点实验室、中国自动化学会无人飞行器自主控制专业委员会(CAA TCUASAC)、中国自动化学会导航制导与控制专业委员会(CAA TCNGC)、中国自动化学会控制理论专业委员会(CAA TCCT

    承办方:中国民航大学、天津大学

    联系人:陈建, jchen@cau.edu.cn,Session Chair

    简介:

    国际制导、导航与控制学术会议,是目前中国最大的航空、航天、航海、陆地等运动体制导、导航与控制(GNC)领域的国际学术会议,每两年举办一次,已经成功举办8届。ICGNC 2020将集聚国内外高等院校、科研院所和工业部门的专家学者,探讨和交流GNC领域相关的学术和技术问题,并将邀请GNC领域的国际知名学者做大会特邀报告,会议还包括总师论坛、青年科学家论坛、会前报告、小组讨论、邀请组、口头报告和张贴报告等。随着我国人工智能2030年发展战略规划的出台,人工智能已上升为国家战略。作为人工智能最具实用性、最有展示度的智能无人系统,是衡量一个国家科技创新和高端制造业水平的重要标志。智能农业无人系统作为2017年国务院《新一代人工智能发展规划》重点布局的五大领域之一,是我国智能无人系统的重要组成部分。因此,本届大会专门设立了智能农业无人系统特邀专题。

    会议语言:英文/中文。

    会议投稿截止日期为202035日,录用/不录用通知日期为2020415日。

    智能农业无人系统特邀专题论文投稿方式:进入投稿系统(http://cms.amss.ac.cn),选择论文类型为“Special Session Paper”,分组代码为fTlfa6。

    本届会议英文论文将由国际著名出版社SpringerLecture Notes in Electrical Engineering正式出版(EI收录),中文论文由国防工业出版社正式出版,其中部分优秀的英文论文将被推荐到《Science China Information Sciences》、《Science China Technological Sciences》、《IEEE Transactions》、《Chinese Journal of Aeronautics》等TOP SCI期刊发表,优秀的中文论文将被推荐到《中国科学:信息科学》、《中国科学:技术科学》、《航空学报》、《上海交通大学学报(自然科学版)》、《北京航空航天大学学报(自然科学版)》等重要EI期刊发表。

    智能农业无人系统特邀专题的征稿范围包含但不限于以下主题:

    At present, intelligent agricultural unmanned systems have covered space (navigation, remote sensing, meteorological, and communication satellites), air (agricultural-aviation plant-protection UAVs, agricultural-aviation remote sensing and mapping UAVs, long-endurance solar-powered UAVs, long-endurance airships, and bionic flying robots), ground (unmanned farming/harvesting machinery, biomass energy system, soil improved bionic robot, and unmanned animal-husbandry robot), and water (unmanned underwater vehicle, underwater operation robot, and unmanned aquaculture system) four spatial dimensions, with broad development prospects. Establishing an agricultural integrated space-air-ground-water cooperation and precision operation system based on the closed-loop control of large systems, studying the intelligent sensing and control technology of intelligent agricultural unmanned systems, and establishing the application demonstration bases all over the world, play an important role at supporting leaping developments of automotive operations, intelligent operations, unmanned operations, and cluster operations of intelligent agricultural machinery and equipment. It is also of great significance to realize the short-term goal “unmanned farming” and the long-term goal “unmanned agriculture” of world agricultural modernization.

    Articles covering but not limited to recent research on the following topics are invited to this session:

    ● Agricultural information integrated space-air-ground-water remote sensing and monitoring network (satellites, UAVs, UGVs, USVs and UUVs) and multi-source data fusion for agricultural applications;

    ● Unmanned agricultural intelligent sensing and control system, intelligent agricultural equipment, and autonomous systems for agricultural machinery field operations;

    ● Unmanned simultaneous localization and mapping, and sensing of unmanned robots in agriculture;

    ● Unmanned agricultural robots guidance (path planning), navigation and control;

    ● Bio-inspired swarm intelligence and multi-agent system cooperative control;

    ● Unmanned agricultural water management, flow measurement and control;

    ● Unmanned crop yield mapping, remote sensing and monitoring;

    ● Unmanned crop phenotype detection, hyper-spectral sensing, and quantitative inversion;

    ● Unmanned farms, unmanned plant factories, unmanned pastures, unmanned fish farms, and unmanned orchards;

    ● Agricultural big data intelligent decision analysis system, agricultural products processing intelligent workshops, and agricultural products green intelligent supply chains;

    ● Bionic systems, bionic flying robots, soil improved bionic robot, bionic animal-husbandry robots, bionic aquaculture robots, and biomass energy system.

     

    有其他问题,请联系智能农业无人系统特邀专题主席中国农业大学工学院陈建老师。

     

    欢迎同行学者参会交流。

     




    Produced By 大汉网络 大汉版通发布系统 印象彩票首页