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作 者:姜燕 Jiang Yan(Jiankun Network Technology Development Co.,Ltd.,Guangzhou City of Guangdong Province,Guangzhou 510630)
机构地区:[1]广东省广州市健坤网络科技发展有限公司,广州510630
出 处:《中国农机装备》2024年第5期6-8,共3页China Agricultural Machinery Equipment
摘 要:本文提出融合人工智能技术和网络软件,构建新型农业机械化管理信息系统,实现信息的科学化、标准化和自动化处理。通过融合GNSS单点测速与双目视觉测速,系统测速的稳定性提高了59.59%(与单点GNSS相比)和18.32%(与双目视觉测速相比),实现从低速到高速的精确测速,有效解决了野外作业中的定位与打滑难题。通过人工智能技术优化了农机信息控制系统模型,显著提升了农业机械化的管理效率和作业准确性。The integration of artificial intelligence technology with network software to construct a new type of agricul-tural mechanization information management system was proposed in the article,which realize scientific,standardized,and automated processing of information.By integrating GNSS single point speed measurement and binocular vision speed measurement,the stability of the system speed measurement had been improved by 59.59%(compared to single point GNSS)and 18.32%(compared to binocular vision speed measurement),achieving precise speed measurement from low speed to high speed,effectively solving the difficulties of positioning and slipping in field operations of machinery.The ag-ricultural machinery information control system model had been optimized through artificial intelligence technology,signif-icantly improving the management efficiency and operational accuracy of agricultural mechanization.
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