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Applied Sciences
Volume 15
Issue 16
10.3390/app15169176
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Review

Research Progress on Control Algorithms for Grain Combine Harvesters

by
Zhihan Chen
1,2,
Zhenjie Qian
1,*,
Chengqian Jin
1 and
Tengxiang Yang
1
1
Nanjing Institute of Agricultural Mechanisation, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
2
Nanjing Institute of Technology, College of Mechanical Engineering, Nanjing 211167, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(16), 9176; https://doi.org/10.3390/app15169176 (registering DOI)
Submission received: 22 July 2025 / Revised: 10 August 2025 / Accepted: 18 August 2025 / Published: 20 August 2025
(This article belongs to the Section Agricultural Science and Technology)
Versions Notes

Abstract

Intelligent control algorithms are essential for enhancing combine harvester efficiency and minimizing losses, especially as global food demand rises and labor shortages become more severe. This paper provides a comprehensive overview of the evolutionary progression from single-subsystem control to the current core challenge of multi-system co-optimization. We examine the technological development of the cutter, threshing, scavenging, and motion control systems, highlighting persistent bottlenecks that impede global performance improvements due to parameter coupling and conflicting objectives. This review serves as a reference for future advancements in the field. Future research should focus on lightweight reinforcement learning, hybrid control strategies, multimodal perception, and dynamic optimization frameworks for digital twins to drive technological breakthroughs and practical applications.
Keywords: combined grain harvesters; control algorithms; agricultural machinery; agricultural intelligence combined grain harvesters; control algorithms; agricultural machinery; agricultural intelligence

Share and Cite

MDPI and ACS Style

Chen, Z.; Qian, Z.; Jin, C.; Yang, T. Research Progress on Control Algorithms for Grain Combine Harvesters. Appl. Sci. 2025, 15, 9176. https://doi.org/10.3390/app15169176

AMA Style

Chen Z, Qian Z, Jin C, Yang T. Research Progress on Control Algorithms for Grain Combine Harvesters. Applied Sciences. 2025; 15(16):9176. https://doi.org/10.3390/app15169176

Chicago/Turabian Style

Chen, Zhihan, Zhenjie Qian, Chengqian Jin, and Tengxiang Yang. 2025. "Research Progress on Control Algorithms for Grain Combine Harvesters" Applied Sciences 15, no. 16: 9176. https://doi.org/10.3390/app15169176

APA Style

Chen, Z., Qian, Z., Jin, C., & Yang, T. (2025). Research Progress on Control Algorithms for Grain Combine Harvesters. Applied Sciences, 15(16), 9176. https://doi.org/10.3390/app15169176

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