Automatic Navigation and Self-Driving Technology in Agricultural Machinery: A State-of-the-Art Systematic Review

The advent of automatic navigation and self-driving technology in agricultural machinery has transformed modern farming by enhancing efficiency and safety. This systematic review aims to evaluate the development, implementation, and impact of self-driving technology in agriculture. We synthesized recent advancements and research findings on the integration of Global Positioning System (GPS), machine learning algorithms, and sensor technologies in agricultural machinery. Key applications of self-driving machinery in planting, harvesting, and field monitoring were explored, with findings showing improvements in farm productivity, reduced operational costs, and enhanced worker safety. Despite the benefits, challenges such as technological barriers, regulatory issues, and infrastructure limitations remain. This review informs stakeholders about the future potential of self-driving technology in promoting sustainable and precision farming practices.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3573324
Citations
19
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
33.25
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article

Automatic Navigation and Self-Driving Technology in Agricultural Machinery: A State-of-the-Art Systematic Review

Jungpil Shin, Jie Huang, Md. Mohsin Kabir, Ashifur Rahman et al.
19 citations
IEEE Access
Smart Agriculture and AI
33.25
article

Automatic Navigation and Self-Driving Technology in Agricultural Machinery: A State-of-the-Art Systematic Review

Jungpil Shin, Jie Huang, Md. Mohsin Kabir, Ashifur Rahman, M. F. Mridha, Mostafijur Rahman, Md. Sabbir Hossain
article en
19 citations

Abstract

The advent of automatic navigation and self-driving technology in agricultural machinery has transformed modern farming by enhancing efficiency and safety. This systematic review aims to evaluate the development, implementation, and impact of self-driving technology in agriculture. We synthesized recent advancements and research findings on the integration of Global Positioning System (GPS), machine learning algorithms, and sensor technologies in agricultural machinery. Key applications of self-driving machinery in planting, harvesting, and field monitoring were explored, with findings showing improvements in farm productivity, reduced operational costs, and enhanced worker safety. Despite the benefits, challenges such as technological barriers, regulatory issues, and infrastructure limitations remain. This review informs stakeholders about the future potential of self-driving technology in promoting sustainable and precision farming practices.

IEEE AccessVol. 13
American International University-Bangladesh (BD), Western Illinois University (US), University of Aizu (JP), Bangladesh University of Business and Technology (BD), Science and Technology Corporation (United States) (US), Mälardalen University (SE)
Zero hunger
Openalex Percentile: Top 0%
Smart Agriculture and AI
33.25
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Automatic Navigation and Self-Driving Technology in Agricultural Machinery: A State-of-the-Art Systematic Review — Jungpil Shin, Jie Huang, et al. · IEEE Access (2025) | TGRS Research Map | TGRS