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.

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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

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article

Autonomous Driving in Agricultural Machinery: Advancing the Frontier of Precision Agriculture

Haobin Jiang, Yingfeng Cai, Long Chen, Qingchao Liu et al.
4 citations
Actuators
Smart Agriculture and AI
7.00
article

Autonomous Driving in Agricultural Machinery: Advancing the Frontier of Precision Agriculture

Haobin Jiang, Yingfeng Cai, Long Chen, Qingchao Liu, Ruohan Yu, Haoda Suo
article en
4 citations

Abstract

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.

ActuatorsVol. 14(9)
Jiangsu University (CN)
National Natural Science Foundation of China, Jiangsu University, Government of Jiangsu Province
Openalex Percentile: Top 3%
Smart Agriculture and AI
7.00
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Autonomous Driving in Agricultural Machinery: Advancing the Frontier of Precision Agriculture — Haobin Jiang, Yingfeng Cai, et al. · Actuators (2025) | TGRS Research Map | TGRS