智能化农业装备学报（中英文）2026，Vol.7Issue(1)：1-7,7.DOI:10.12398/j.issn.2096-7217.2026.01.001
农机智能引擎AMES的设计与实现
Design and implementation of agricultural machinery intelligent engine system
摘要
Abstract
Aiming at the three major bottlenecks faced by intelligent agricultural machinery,namely on-board software fragmentation,insufficient hardware-software collaboration,and lack of underlying platforms,this study proposes the agricultural machinery intelligent engine system(AMES).Its design follows three core principles:integrity,reusability,and data-driven.It adopts a layered architecture:integrating a real-time operating system(RTOS),general-purpose on-board software,and service-oriented architecture(SOA)communication middleware to ensure system compatibility and real-time performance,encapsulating the"perception-decision-control"closed-loop capability,providing a multi-domain control model library,a dedicated algorithm library,and a development toolkit to support three core functions:intelligent navigation,intelligent control,and intelligent management.In practical applications,AMES has achieved a pest and disease identification accuracy rate of≥95%in field inspection robots,improved the overall operational quality by more than 20%in intelligent grain combine harvesters,and achieved a harvesting efficiency of 2 500 stalks per hour with a damage rate of≤5%in asparagus harvesting robots.These results effectively promote the transformation of the agricultural machinery industry towards"integrated hardware-software services"and help China's intelligent agricultural machinery technology transition from"catching up"to"leading".关键词
农机智能引擎(AMES)/智能农机/人工智能/软件架构/"感知—决策—执行"闭环Key words
agricultural machinery intelligent engine system(AMES)/intelligent agricultural machinery/artificial intelligence/software architecture/"perception-decision-execution"closed loop分类
农业科技引用本文复制引用
刘政,周国民,沈孚,崔龙飞,夏先飞,陈聪,张进龙,金诚谦,胡良龙,常春..农机智能引擎AMES的设计与实现[J].智能化农业装备学报（中英文）,2026,7(1):1-7,7.基金项目
国家重点研发计划(2021YFD2000500) （2021YFD2000500）
国家重点研发计划青年科学家项目(2022YFD2000700) National Key Research and Development Program of China(2021YFD2000500) （2022YFD2000700）
Young Scientists Project of National Key Research and Development Program of China(2022YFD2000700) （2022YFD2000700）
