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Management and harvesting technologies in agricultural robotics: Current status, challenges and future developments
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Dezhi WANG, Yanxin WANG, Xiaochan WANG, Yinyan SHI, Yongnian ZHANG
Journal of Intelligent Agricultural Mechanization | 2025, 6(2) : 1 - 23
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Journal of Intelligent Agricultural Mechanization | 2025, 6(2): 1-23
Management and harvesting technologies in agricultural robotics: Current status, challenges and future developments
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Dezhi WANG, Yanxin WANG, Xiaochan WANG, Yinyan SHI, Yongnian ZHANG
Affiliations
  • College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
  • WANG Dezhi, E-mail:

About Author:

WANG Dezhi, E-mail:

Published: 2025-05-15 doi: 10.12398/j.issn.2096-7217.2025.02.001
Outline
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Agricultural robots constitute a crucial trajectory in the evolution of modern agriculture, and has emerged as a focal point of strategic global competition in agricultural equipment technology. As a specialized domain within robotics, agricultural robots are fundamentally composed of an information perception system, decision-making control system, operation execution mechanism, and autonomous mobile platform, having gone through multiple development stages from semi-automation to intelligence. This paper aims to provide a precise understanding of the contemporary research landscape and future trajectories of agricultural robots by delineating their conceptual framework, reviewing relevant national and international development policies, and outlining the underpinning technical background. Agricultural management robots and picking robots are two core directions in the field of agricultural robotics. Management robots achieve precise control of production management operations through real-time monitoring of crop growth parameters and environmental conditions. Picking robots, on the other hand, automatically perform crop picking tasks through autonomous navigation, intelligent recognition and precise control technology. This paper focuses on cutting-edge progress, technical bottlenecks, and key breakthrough directions concerning various management robots, including those for information acquisition, pollination, weed control, plant protection, leaf pruning and intelligent irrigation systems, as well as picking robots dedicated to fruits, vegetables, flowers, and tea. Considering the distinct requirements and characteristics of China's agriculture, this analysis critically analyzed the technological bottlenecks and key breakthrough directions of agricultural robots, including precise information perception and recognition, real-time data processing and intelligent decision-making, adaptive chassis path planning and autonomous navigation, and operational actuator design and precise operational control. It is envisioned that agricultural robots will be widely applied in the fields of crop management, precision irrigation, pest control and picking, thereby accelerating the the evolution of agriculture towards a more intelligent, precise, and autonomous paradigm. Relying on advanced technology to address challenges in agricultural production, it will promote the optimization of agricultural workforce and the improvement of production efficiency, and server as a foundational pillar for the realization of smart agriculture.

agricultural robot  /  management technology  /  harvesting technology  /  smart agriculture  /  precise operation
王得志, 王延鑫, 汪小旵, 施印炎, 章永年. 农业机器人中的管理与采摘技术:现状、挑战与未来发展. 智能化农业装备学报(中英文), 2025 , 6 (2) : 1 -23 . DOI: 10.12398/j.issn.2096-7217.2025.02.001
Dezhi WANG, Yanxin WANG, Xiaochan WANG, Yinyan SHI, Yongnian ZHANG. Management and harvesting technologies in agricultural robotics: Current status, challenges and future developments[J]. Journal of Intelligent Agricultural Mechanization, 2025 , 6 (2) : 1 -23 . DOI: 10.12398/j.issn.2096-7217.2025.02.001
  • National Key Research and Development Program of China(2023YFD2000304)
  • Jiangsu Provincial Key Research and Development Program(BE2021302)
  • Jiangsu Agricultural Science and Technology Innovation Fund Program(CX(21)2006)
Year 2025 volume 6 Issue 2
41
11
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Article Info
doi: 10.12398/j.issn.2096-7217.2025.02.001
  • Receive Date:2025-03-04
  • Online Date:2026-11-05
  • Published:2025-05-15
Article Data
Affiliations
History
  • Received:2025-03-04
  • Revised:2025-04-02
Funding
National Key Research and Development Program of China(2023YFD2000304)
Jiangsu Provincial Key Research and Development Program(BE2021302)
Jiangsu Agricultural Science and Technology Innovation Fund Program(CX(21)2006)
Affiliations
    College of Engineering, Nanjing Agricultural University, Nanjing 210031, China

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* WANG Xiaochan, 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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