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Design and implementation of agricultural machinery intelligent engine system
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Zheng LIU1, 3, Fu SHEN1, 2, 3, Longfei CUI1, 3, Xianfei XIA1, 3, Cong CHEN1, 3, Jinlong ZHANG1, 3, Chengqian JIN1, 3, Lianglong HU1, 3, Chun CHANG1, 3, Guomin ZHOU1, 3
Journal of Intelligent Agricultural Mechanization | 2026, 7(1) : 1 - 7
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Journal of Intelligent Agricultural Mechanization | 2026, 7(1): 1-7
Design and implementation of agricultural machinery intelligent engine system
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Zheng LIU1, 3, Fu SHEN1, 2, 3, Longfei CUI1, 3, Xianfei XIA1, 3, Cong CHEN1, 3, Jinlong ZHANG1, 3, Chengqian JIN1, 3, Lianglong HU1, 3, Chun CHANG1, 3, Guomin ZHOU1, 3
Affiliations
  • 1.Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
  • 2.Zhongnong Guoke (Nanjing) Intelligent Equipment Technology Co., Ltd., Nanjing 210014, China
  • 3.Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China

    • LIU Zheng, E-mail:

About Author:

LIU Zheng, E-mail:

Published: 2026-02-15 doi: 10.12398/j.issn.2096-7217.2026.01.001
Outline
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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”.

agricultural machinery intelligent engine system (AMES)  /  intelligent agricultural machinery  /  artificial intelligence  /  software architecture  /  “perception-decision-execution” closed loop
刘政, 沈孚, 崔龙飞, 夏先飞, 陈聪, 张进龙, 金诚谦, 胡良龙, 常春, 周国民. 农机智能引擎AMES的设计与实现. 智能化农业装备学报（中英文）, 2026 , 7 (1) : 1 -7 . DOI: 10.12398/j.issn.2096-7217.2026.01.001
Zheng LIU, Fu SHEN, Longfei CUI, Xianfei XIA, Cong CHEN, Jinlong ZHANG, Chengqian JIN, Lianglong HU, Chun CHANG, Guomin ZHOU. Design and implementation of agricultural machinery intelligent engine system[J]. Journal of Intelligent Agricultural Mechanization, 2026 , 7 (1) : 1 -7 . DOI: 10.12398/j.issn.2096-7217.2026.01.001
Funding
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  • National Key Research and Development Program of China(2021YFD2000500)
  • Young Scientists Project of National Key Research and Development Program of China(2022YFD2000700)
Appendix
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Year 2026 volume 7 Issue 1
25
7
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Article Info
doi: 10.12398/j.issn.2096-7217.2026.01.001
  • Receive Date：2026-01-06
  • Online Date：2026-11-03
  • Published：2026-02-15
Article Data
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History
  • Received：2026-01-06
  • Revised：2026-01-27
Funding
National Key Research and Development Program of China(2021YFD2000500)
Young Scientists Project of National Key Research and Development Program of China(2022YFD2000700)
Affiliations
    1.Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
    2.Zhongnong Guoke (Nanjing) Intelligent Equipment Technology Co., Ltd., Nanjing 210014, China
    3.Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China

Corresponding:

* ZHOU Guomin, E-mail:
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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