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基于人工智能算法的田间农机作业无人化管理系统设计

Design of unmanned management system for field agricultural machinery operations based on artificial intelligence algorithms
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摘要 本研究以农田田块为管理对象,设计一套智能化管理系统,以掌握田间农机作业的具体情况,包括作业农机类型、对应农事活动和作业时间等信息。具体而言,以人工智能算法为基础,通过机器视觉方法,自动捕捉并识别田间农机,从而获取准确的田块作业农机类型及其所关联的生产信息。整个系统集成了感知设备、人工智能算法和应用软件平台,其构成简单,环境通用性强,可以为农场的无人化管理提供有效工具,为生产管理模式提供参考。 The farmland was taken as management object,and an intelligent management system was designed to grasp the specific situation of agricultural technology operations in the field,including the type of agricultural machinery,corresponding agricultural activities,and operation time.Specifically,based on artificial intelligence algorithms,machine vision methods were used to automatically capture and agricultural machinery were recognized in the field,thereby obtaining accurate types of agricultural machinery for field operations and their associated production information.The entire system integrated sensing devices,artificial intelligence algorithms,and application software platforms,with simple composition and strong environmental universality,which could provide effective tools for unmanned management of farms,and provide references for new production management models.
作者 吴晓伟 骆庭宝 WU Xiaowei;LUO Tingbao(Anhui Zhongke Intelligent Sense Technology Co.,Ltd.,Wuhu 241000,China)
出处 《安徽农学通报》 2024年第17期96-100,共5页 Anhui Agricultural Science Bulletin
关键词 人工智能算法 机器视觉 农业机械识别 农机作业 artificial intelligence algorithms machine vision agricultural machinery identification machinery operation
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