Next Article in Journal
Assessing Whole-Body Vibrations in an Agricultural Tractor Based on Selected Operational Parameters: A Machine Learning-Based Approach
Previous Article in Journal
Impact of Soil Amendments and Alternate Wetting and Drying Irrigation on Growth, Physiology, and Yield of Deeper-Rooted Rice Cultivar Under Internet of Things-Based Soil Moisture Monitoring
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
AgriEngineering
Volume 7
Issue 3
10.3390/agriengineering7030071
agriengineering-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

A Review of Key Technological Developments in Autonomous Unmanned Operation Systems for Agriculture in China

by
Weizhen Li
1,2,†,
Jingqiu Gu
1,3,4,†,
Jingli Liu
1,2,
Bo Cheng
1,5,
Huaji Zhu
1,3,4,
Yisheng Miao
1,3,4,
Wang Guo
1,3,4,
Guolong Jiang
5,
Huarui Wu
1,3,4,* and
Weitang Song
5,*
1
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
2
School of Information Science and Engineering, Shandong Agricultural University, Taian 271018, China
3
Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
4
Key Laboratory of Digital Village Technology, Ministry of Agriculture and Rural Affairs, Beijing 100097, China
5
College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
AgriEngineering 2025, 7(3), 71; https://doi.org/10.3390/agriengineering7030071
Submission received: 22 January 2025 / Revised: 28 February 2025 / Accepted: 4 March 2025 / Published: 6 March 2025
Browse Figures
Versions Notes

Abstract

Smart agricultural machinery is built upon traditional agricultural equipment, further integrating modern information technologies to achieve automation, precision, and intelligence in agricultural production. Currently, significant progress has been made in the autonomous operation and monitoring technologies of smart agricultural machinery in China. However, challenges remain, including poor adaptability to complex environments, high equipment costs, and issues with system implementation and standardization integration. To help industry professionals quickly understand the current state and promote the rapid development of smart agricultural machinery, this paper provides an overview of the key technologies related to autonomous operation and monitoring in China’s smart agricultural equipment. These technologies include environmental perception, positioning and navigation, autonomous operation and path planning, agricultural machinery status monitoring and fault diagnosis, and field operation monitoring. Each of these key technologies is discussed in depth with examples and analyses. On this basis, the paper analyzes the main challenges faced by the development of autonomous operation and monitoring technologies in China’s smart agricultural machinery sector. Furthermore, it explores the future directions for the development of autonomous operation and monitoring technologies in smart agricultural machinery. This research is of great importance for promoting the transition of China’s agricultural production towards automation and intelligence, improving agricultural production efficiency, and reducing reliance on human labor.
Keywords: intelligent agricultural machinery; autonomous operation; monitoring; sensors intelligent agricultural machinery; autonomous operation; monitoring; sensors

Share and Cite

MDPI and ACS Style

Li, W.; Gu, J.; Liu, J.; Cheng, B.; Zhu, H.; Miao, Y.; Guo, W.; Jiang, G.; Wu, H.; Song, W. A Review of Key Technological Developments in Autonomous Unmanned Operation Systems for Agriculture in China. AgriEngineering 2025, 7, 71. https://doi.org/10.3390/agriengineering7030071

AMA Style

Li W, Gu J, Liu J, Cheng B, Zhu H, Miao Y, Guo W, Jiang G, Wu H, Song W. A Review of Key Technological Developments in Autonomous Unmanned Operation Systems for Agriculture in China. AgriEngineering. 2025; 7(3):71. https://doi.org/10.3390/agriengineering7030071

Chicago/Turabian Style

Li, Weizhen, Jingqiu Gu, Jingli Liu, Bo Cheng, Huaji Zhu, Yisheng Miao, Wang Guo, Guolong Jiang, Huarui Wu, and Weitang Song. 2025. "A Review of Key Technological Developments in Autonomous Unmanned Operation Systems for Agriculture in China" AgriEngineering 7, no. 3: 71. https://doi.org/10.3390/agriengineering7030071

APA Style

Li, W., Gu, J., Liu, J., Cheng, B., Zhu, H., Miao, Y., Guo, W., Jiang, G., Wu, H., & Song, W. (2025). A Review of Key Technological Developments in Autonomous Unmanned Operation Systems for Agriculture in China. AgriEngineering, 7(3), 71. https://doi.org/10.3390/agriengineering7030071

Article Metrics

Back to TopTop