Autonomous Driving in Agricultural Machinery: Advancing the Frontier of Precision Agriculture
Increasing global food production to address challenges from population growth, labor shortages, and climate change necessitates a significant enhancement of agricultural sustainability. Autonomous agricultural machinery, a recognized application of precision agriculture, offers a promising solution to boost productivity, resource efficiency, and environmental sustainability. This study presents a systematic review of autonomous driving technologies for agricultural machinery based on 506 rigorously selected publications. The review emphasizes three core aspects: navigation reliability assurance, motion control mechanisms for both vehicles and implements, and actuator fault-tolerance strategies in complex agricultural environments. Applications in farmland, orchards, and livestock farming demonstrate substantial potential. This study also discusses current challenges and future development trends. It aims to provide a reference and technical guidance for the engineering implementation of intelligent agricultural machinery and to support sustainable agricultural transformation.
Authors
- Haobin Jiang (ORCID: https://orcid.org/0000-0002-0851-479X)
- Yingfeng Cai (ORCID: https://orcid.org/0000-0002-0633-9887)
- Long Chen (ORCID: https://orcid.org/0000-0003-0184-5446)
- Qingchao Liu (ORCID: https://orcid.org/0000-0001-6486-0999)
- Ruohan Yu
- Haoda Suo
Institutions
- Jiangsu University (CN)
Publication Details
- Journal
- Actuators
- Published
- 2025-09-22
- DOI
- https://doi.org/10.3390/act14090464
- Citations
- 4
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 7.00
Funders
- National Natural Science Foundation of China
- Jiangsu University
- Government of Jiangsu Province