Journal of Intelligent Agricultural Mechanization
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2023, 4(3): 1-13
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Development status and trends of intelligent control technology in unmanned farms
Full
Zhenjie QIAN
, Chengqian JIN
*, Zheng LIU, Tengxiang YANG
Affiliations
- Nanjing Institute of Agricultural Mechanisation, Ministry of Agriculture and Rural Affairs，Nanjing 210014, China
QIAN Zhenjie, PhD, Associate Professor, research interests: intelligent agriculture. E-mail: zhenjieqian@caas.cn
About Author:
QIAN Zhenjie, PhD, Associate Professor, research interests: intelligent agriculture. E-mail: zhenjieqian@caas.cn
Published: 2023-08-15
doi: 10.12398/j.issn.2096-7217.2023.03.001
Outline
With China’s urbanization, land circulation has emerged as an avenue for efficient and intensive land use. Embracing technology as a primary driver, the unmanned farm technology model represents a bold attempt at sustainable agriculture development. This review focuses on the frontier and development trajectory of key core technologies, and addresses the significant industrial challenges of insufficient accumulation of data on unmanned farms, unknown interaction mechanisms among the environment, plants, and equipment, and lack of multi-parameter integration and regulation strategies for intelligent equipment. Technologies such as autonomous positioning and navigation, online professional sensor, work obstacle information perception, path planning, decision-making, multi-machine collaboration, autonomous operation, and variable operation technology have been implemented in this study. The research shows that, in future, realizing unmanned farms requires special sensors for agricultural intelligent equipment, precise operational decision control systems, and practically intelligent equipment. At meanwhile, addressing such challenges necessitates a focus on core technologies such as insufficient basic big data accumulation of unmanned farms, modeling of environment-plant-equipment interaction mechanism, and intelligent decision control algorithm. This comprehensive improvement in automation, intelligence, and environmental sustainability of agricultural production marks the future development trajectory of unmanned farms.
unmanned farm
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intelligent control technology
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agriculture perception sensors
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intelligent task automation
钱震杰, 金诚谦, 刘政, 杨腾祥.
无人农场中的智能控制技术应用现状与趋势.
智能化农业装备学报（中英文）,
2023
, 4
(3)
: 1
-13
.
DOI: 10.12398/j.issn.2096-7217.2023.03.001
Zhenjie QIAN, Chengqian JIN, Zheng LIU, Tengxiang YANG.
Development status and trends of intelligent control technology in unmanned farms[J].
Journal of Intelligent Agricultural Mechanization,
2023
, 4
(3)
: 1
-13
.
DOI: 10.12398/j.issn.2096-7217.2023.03.001
- National Key Research and Development Plan Project(2021YFD2000503)
- National Natural Science Foundation Project(32171911)
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Year 2023 volume 4 Issue 3
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doi: 10.12398/j.issn.2096-7217.2023.03.001
- Receive Date：2023-05-25
- Online Date：2026-11-05
- Published：2023-08-15
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