何勇, 张勤, Alan Hansen, Noboru Noguchi, Beom-soo Shin. 精细农业机械化作物生产计算机集成技术(英)[J]. 农业工程学报, 2006, 22(11): 152-159.
    引用本文: 何勇, 张勤, Alan Hansen, Noboru Noguchi, Beom-soo Shin. 精细农业机械化作物生产计算机集成技术(英)[J]. 农业工程学报, 2006, 22(11): 152-159.
    He Yong, Zhang Qin, Alan Hansen, Noboru Noguchi, Beom-soo Shin. Computer-integrated crop production technologies for mechanized precision farming[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2006, 22(11): 152-159.
    Citation: He Yong, Zhang Qin, Alan Hansen, Noboru Noguchi, Beom-soo Shin. Computer-integrated crop production technologies for mechanized precision farming[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2006, 22(11): 152-159.

    精细农业机械化作物生产计算机集成技术(英)

    Computer-integrated crop production technologies for mechanized precision farming

    • 摘要: 介绍了一项适用于精细农业机械化的新技术:计算机集成作物生产技术(CCP)。该技术融合信息采集、网络通讯、数据处理、过程决策、自动执行等功能,能有效地完成作物生产的精确机械化作业。计算机集成作物生产技术的3个主要功能是先根据需要实时采集传感数据,然后根据传感信息构建合理的行动决策,最后将传递上述决策并付诸实施。为了说明CCP的工作原理和结构设计,介绍了由伊利诺依大学机械电子系统实验室设计开发的CCP技术系统的关键功能。研究结果表明,在车辆自动导航,主从机械控制,在线式变量作业等利用农业机械实施田间作物生产作业的领域,有必要在农业机械上集成CCP技术,使机械自动地完成各项最优化项目作业。最后,根据以往工作中的经验,简要讨论了目前CPP技术发展所面临的问题和挑战。

       

      Abstract: This paper introduces a new production technology for mechanized precision farming: the computer-integrated crop production(CCP) technology. The CCP technology integrates information acquisition, data networking, data processing, operation planning and automated execution functions to support effective mechanized precision crop production. A CCP system should be capable of three main functions: collecting relevant observable data when it is needed, drawing appropriate actionable parameters from the observed data, and transmitting the actionable parameters for implementation. To illustrate the operational principle and architecture design of a CCP system, this paper explains the key functions developed from various projects at the Mechatronic Systems Laboratory of the University of Illinois at Urbana-Champaign. In these projects, field operations in mechanized precision crop production, such as automated guidance, master-slave control and online variable-rate application, which performed using some types of mobile agricultural machinery, are essential to integrate the CCP system with the machinery for automatically implementing optimized operations. A brief discussion on the remaining challenges in developing more sophisticated CCP technology is also presented in this paper based on the lessons learned from those research projects.

       

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