Research Progress on Autonomous Operation Technology for Agricultural Equipment in Large Fields

Wenbo Wei, Maohua Xiao (), Weiwei Duan, Hui Wang, Yejun Zhu, Cheng Zhai and Guosheng Geng
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Wenbo Wei: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Maohua Xiao: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Weiwei Duan: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Hui Wang: Weichai Lovol Intelligent Agricultural Technology Co., Ltd., Weifang 261206, China
Yejun Zhu: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Cheng Zhai: Weichai Lovol Intelligent Agricultural Technology Co., Ltd., Weifang 261206, China
Guosheng Geng: College of Engineering, Nanjing Agricultural University, Nanjing 210031, China

Agriculture, 2024, vol. 14, issue 9, 1-20

Abstract: Agriculture is a labor-intensive industry. However, with the demographic shift toward an aging population, agriculture is increasingly confronted with a labor shortage. The technology for autonomous operation of agricultural equipment in large fields can improve productivity and reduce labor intensity, which can help alleviate the impact of population aging on agriculture. Nevertheless, significant challenges persist in the practical application of this technology, particularly concerning adaptability, operational precision, and efficiency. This review seeks to systematically explore the advancements in unmanned agricultural operations, with a focus on onboard environmental sensing, full-coverage path planning, and autonomous operational control technologies. Additionally, this review discusses the challenges and future directions of key technologies for the autonomous operation of agricultural equipment in large fields. This review aspires to serve as a foundational reference for the development of autonomous operation technologies for large-scale agricultural equipment.

Keywords: agricultural equipment; autonomous operation; environmental sensing; complete-coverage path planning (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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