Home Journals Articles Updates About
CN
image
收藏切换
Research progress in navigation technology for autonomous mobile equipment in facility agriculture
收藏切换
Yinfeng HUANG1, Guoxiang SUN1, 2, Xiaochan WANG1, 2, Yinyan SHI1, 2, Yongnian ZHANG1, 2, Guangyu CHEN1
Journal of Intelligent Agricultural Mechanization | 2025, 6(4) : 1 - 16
Less
收藏切换
Journal of Intelligent Agricultural Mechanization | 2025, 6(4): 1-16
Research progress in navigation technology for autonomous mobile equipment in facility agriculture
Full
Yinfeng HUANG1, Guoxiang SUN1, 2, Xiaochan WANG1, 2, Yinyan SHI1, 2, Yongnian ZHANG1, 2, Guangyu CHEN1
Affiliations
  • 1.College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
  • 2.Jiangsu Province Engineering Lab for Modern Facility Agriculture Technology & Equipment, Nanjing 210031, China

    • HUANG Yinfeng, E-mail:

About Author:

HUANG Yinfeng, E-mail:

Published: 2025-11-15 doi: 10.12398/j.issn.2096-7217.2025.04.001
Outline
收藏切换

The development of navigation technologies for autonomous mobile equipment is pivotal to the intelligent upgrading of facility agriculture, with its core challenge being how to achieve safe, efficient, and precise movement within greenhouse environments. Through an in-depth analysis of the latest research trends, this study aims to comprehensively elucidate the evolution of these navigation technologies and discuss their future directions. We begin by reviewing the state of the art, with a focus on comparing the advantages and disadvantages of different navigation methods, including guide-rail, path-tracking, and multi-source data fusion navigation based on simultaneous localization and mapping (SLAM) technology. Furthermore, we explore recent advances in SLAM-based multi-source data fusion navigation for real-time localization, mapping, and path planning. Relevant research indicates that while traditional guide-rail and path-tracking methods are simple to implement, they suffer from fixed routes, high installation costs, and limited operational range. In contrast, SLAM-based multi-source data fusion navigation offers greater flexibility and autonomy, enabling precise localization, intelligent obstacle avoidance, and adaptive path planning, thus holding broad application prospects in facility agriculture. As SLAM technology continues to mature, equipment employing this navigation approach will see even wider adoption. This study also addresses practical challenges and limitations, such as computational demands and algorithm optimization. Finally, we propose several development prospects for China's facility agriculture: adopting multi-source data fusion navigation to achieve high-precision localization and mapping; integrating artificial intelligence, cloud computing, and edge computing to enhance the equipment's perception and understanding of complex environments; combining global and local path planning to enable autonomous decision-making; implementing intelligent obstacle avoidance to ensure operational safety and reliability; and investigating multi-vehicle and human-vehicle collaboration for efficient multi-task coordination. This research aims to provide valuable insights and references for the intelligent development of autonomous mobile equipment in Chinese facility agriculture.

facility agriculture  /  navigation  /  autonomous walking equipment  /  real-time positioning  /  map construction  /  path planning
黄银锋, 孙国祥, 汪小旵, 施印炎, 章永年, 陈光宇. 设施农业自主移动装备导航技术研究进展. 智能化农业装备学报（中英文）, 2025 , 6 (4) : 1 -16 . DOI: 10.12398/j.issn.2096-7217.2025.04.001
Yinfeng HUANG, Guoxiang SUN, Xiaochan WANG, Yinyan SHI, Yongnian ZHANG, Guangyu CHEN. Research progress in navigation technology for autonomous mobile equipment in facility agriculture[J]. Journal of Intelligent Agricultural Mechanization, 2025 , 6 (4) : 1 -16 . DOI: 10.12398/j.issn.2096-7217.2025.04.001
Funding
Less
  • National Key Research and Development Program of China(2023YFD2000304; 2023YFD2000305)
  • Jiangsu Agricultural Science and Technology Innovation Fund(CX（22）3097)
  • Jiangsu Modern Agricultural Machinery Equipment and Technology Demonstration and Promotion Project(NJ2023-44)
Appendix
Less
Year 2025 volume 6 Issue 4
33
10
Cite this Article
BibTeX
Article Info
doi: 10.12398/j.issn.2096-7217.2025.04.001
  • Receive Date：2024-05-16
  • Online Date：2026-11-05
  • Published：2025-11-15
Article Data
Affiliations
History
  • Received：2024-05-16
  • Revised：2024-06-28
Funding
National Key Research and Development Program of China(2023YFD2000304; 2023YFD2000305)
Jiangsu Agricultural Science and Technology Innovation Fund(CX（22）3097)
Jiangsu Modern Agricultural Machinery Equipment and Technology Demonstration and Promotion Project(NJ2023-44)
Affiliations
    1.College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
    2.Jiangsu Province Engineering Lab for Modern Facility Agriculture Technology & Equipment, Nanjing 210031, China

Corresponding:

* SUN Guoxiang, E-mail:
References
Share
https://castjournals.cast.org.cn/joweb/znhnyzbxb/EN/10.12398/j.issn.2096-7217.2025.04.001
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT