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Open Access

Analysis of application status of intelligent manufacturing in agricultural machinery

Fengque Pei1Kaiwei Yang2Miao Wang2Yifei Tong2( )
College of Mechanical and Electrical Engineering, Hohai University, Changzhou 213022, China
School of Mechanical Engineering, Nanjing University of Science & Technology, Nanjing 210094, China
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Abstract

Intelligent and green agricultural machinery has become an important goal at this stage. The application of intelligent manufacturing in the field of agricultural machinery has ushered in unprecedented market opportunities. This paper firstly analyzes the development status of agricultural machinery, and studies the key enabling technologies for intelligent manufacturing in agricultural machinery, including new IT, big data, cloud computing, digital twin and robotics, etc. Then the new development and application brought by intelligent manufacturing to agricultural machinery are summarized, including the design, management and maintenance, operation and new energy of agricultural machinery. Finally, the challenges and application prospects are discussed, and urgent problems are pointed out, including the lack of basic data, limitation of intelligent manufacturing in agricultural machinery, insufficient intelligent operation and maintenance as well as less application of intelligent operation in agricultural machinery. It is suggested that in the future, four research perspectives should be noticed, namely the design of knowledge base, the breakthrough of key application, the establishment of a unified platform and the intelligence of agricultural machinery. By solving these bottlenecks, the development of intelligent manufacturing in agriculture machinery will be greatly promoted.

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Journal of Intelligent Agricultural Mechanization
Pages 7-19

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Cite this article:
Pei F, Yang K, Wang M, et al. Analysis of application status of intelligent manufacturing in agricultural machinery. Journal of Intelligent Agricultural Mechanization, 2022, 3(1): 7-19. https://doi.org/10.12398/j.issn.2096-7217.2022.01.002

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Received: 02 April 2022
Accepted: 24 April 2022
Published: 15 May 2022
© Journal of Intelligent Agricultural Mechanization (2022)

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)