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Review

Advances and Future Trends in Electrified Agricultural Machinery for Sustainable Agriculture

1
School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
2
Key Laboratory for Theory and Technology of Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang 212013, China
3
Jiangsu Province and Education Ministry Co-Sponsored Synergistic Innovation Center of Modern Agricultural Equipment, Zhenjiang 212013, China
4
School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
*
Author to whom correspondence should be addressed.
Agriculture 2025, 15(22), 2367; https://doi.org/10.3390/agriculture15222367
Submission received: 5 October 2025 / Revised: 26 October 2025 / Accepted: 27 October 2025 / Published: 14 November 2025
(This article belongs to the Section Agricultural Technology)

Abstract

The global transition toward sustainable and intelligent farming has positioned Electrified Agricultural Machinery (EAM) as a central focus in modern equipment development. By integrating advanced electrical subsystems, high-efficiency powertrains, and intelligent Energy Management Strategies (EMSs), EAM offers considerable potential to enhance operational efficiency, reduce greenhouse-gas emissions, and improve adaptability across diverse agricultural environments. Nevertheless, widespread deployment remains constrained by harsh operating conditions, complex duty cycles, and limitations in maintenance capacity and economic feasibility. This review provides a comprehensive synthesis of enabling technologies and application trends in EAM. Performance requirements of electrical subsystems are examined with emphasis on advances in power supply, electric drive, and control systems. The technical characteristics and application scenarios of battery, series hybrid, parallel hybrid, and power-split powertrains are compared. Common EMS approaches (rule-based, optimization-based, and learning-based) are evaluated in terms of design complexity, energy efficiency, adaptability, and computational demand. Representative applications across tillage, seeding, crop management, and harvesting are discussed, underscoring the transformative role of electrification in agricultural production. This review identifies the series hybrid electronic powertrain system and rule-based EMSs as the most mature technologies for practical application in EAM. However, challenges remain concerning operational reliability in harsh agricultural environments and the integration of intelligent control systems for adaptive, real-time operations. The review also highlights key technical bottlenecks and emerging development trends, offering insights to guide future research and support the wider adoption of EAM.
Keywords: agricultural machinery; energy management strategy; hybrid electric powertrain; deep reinforcement learning; agricultural intelligence agricultural machinery; energy management strategy; hybrid electric powertrain; deep reinforcement learning; agricultural intelligence

Share and Cite

MDPI and ACS Style

Shen, Y.; Yang, F.; Wu, J.; Luo, S.; Khan, Z.; Zhang, L.; Liu, H. Advances and Future Trends in Electrified Agricultural Machinery for Sustainable Agriculture. Agriculture 2025, 15, 2367. https://doi.org/10.3390/agriculture15222367

AMA Style

Shen Y, Yang F, Wu J, Luo S, Khan Z, Zhang L, Liu H. Advances and Future Trends in Electrified Agricultural Machinery for Sustainable Agriculture. Agriculture. 2025; 15(22):2367. https://doi.org/10.3390/agriculture15222367

Chicago/Turabian Style

Shen, Yue, Feng Yang, Jianbang Wu, Shuai Luo, Zohaib Khan, Lanke Zhang, and Hui Liu. 2025. "Advances and Future Trends in Electrified Agricultural Machinery for Sustainable Agriculture" Agriculture 15, no. 22: 2367. https://doi.org/10.3390/agriculture15222367

APA Style

Shen, Y., Yang, F., Wu, J., Luo, S., Khan, Z., Zhang, L., & Liu, H. (2025). Advances and Future Trends in Electrified Agricultural Machinery for Sustainable Agriculture. Agriculture, 15(22), 2367. https://doi.org/10.3390/agriculture15222367

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