ARTICLE
Volume 10,Issue 7
12 February 2026
A Framework for Advancing Intelligent Electrical Agricultural Machinery Technologies in Mountainous Regions
Hong Huang
Show Less
1
Chongqing Municipal Agricultural and Rural Affairs Committee, Chongqing 401121, China,
JERA 2026 , 10(1), 66–71;
https://doi.org/10.26689/jera.v10i1.13890
© 2026 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract
The complex terrain of the hilly and mountainous regions in southwestern China presents significant challenges to agricultural mechanization, resulting in a level that is markedly lower than the national average. Focusing on the key development needs for intelligent agricultural machinery in these areas. This paper systematically delineates four core technological domains: lightweight machine design, detachment and drag reduction in heavy clay soils, slope adaptability, and remote operation and maintenance. The study aims to provide technical insights for overcoming the bottlenecks in mechanizing hilly and mountainous agriculture, thereby contributing to rural revitalization and national agricultural development strategies.
References
Chen J, Chen X, Xie S, et al., 2025, Full-Coverage Path Planning for Multi-Machinery Anti-Subsidence in Partially Sinkage-Risky Fields Based on an Improved Seagull Optimization Algorithm with Simulated Annealing. Computers and Electronics in Agriculture, 2025(238): 110835.
Han X, Kim H, Jeon C, et al., 2021, Design and Field Testing of a Polygonal Paddy Infield Path Planner for Unmanned Tillage Operations. Computers and Electronics in Agriculture, 2021(191): 106567.
He L, Li Y, An X, et al., 2025, Real-Time Monitoring System for Evaluating the Operational Quality of Rice Transplanters. Computers and Electronics in Agriculture, 2025(234): 110204.
Issa I, Zhang Z, El-Kolaly W, et al., 2025, Innovated Design, Simulation and Evaluation of Potato Harvester Excavation and Separation Conveyors. International Journal of Agricultural and Biological Engineering, 18(2): 132–145.
Cai S, Luo Y, Li Q, 2021, State of the Art of Lightweight Technology in Agricultural Machinery and its Development Trend. Journal of Mechanical Engineering, 57(17): 35–52.
Fartash N, Selvi K, Ungureanu N, 2025, Exploring the Role of Advanced Composites and Biocomposites in Agricultural Machinery and Equipment: Insights into Design, Performance, and Sustainability. Polymers, 17(12): 1691.
Kong W, 2025, Researches on Lightweight Body Structure Design and Optimization of Electric Vehicles. Applied and Computational Engineering, 124(1): 183–189.
Soleimani A, 2024, The Soft Computing Approaches in Optimising Multi-Objective Mechanical Design of a Weeding Robot. Smart Agricultural Technology, 2024(9): 100674.
Zhang F, Luo Z, Zheng E, et al., 2025, Imitating Pangolin Scale Structure for Reducing Adhesion and Resistance of Rotary Tillage in Wet-Adhesive Soil. Soil and Tillage Research, 2025(245): 106306.
Xu Z, Qi H, Gao P, et al., 2024, Biomimetic Design of Soil-Engaging Components: A Review. Biomimetics, 9(6): 358.
Li J, Li X, Hu B, et al., 2023, Analysis of the Resistance Reduction Mechanism of Potato Bionic Digging Shovels in Clay and Heavy Soil Conditions. Computers and Electronics in Agriculture, 2023(214): 108315.
Li X, Wang Z, Gu T, et al., 2025, Design of Bionic Rotary Tiller Blades Based on Marmot Claws and Research on Anti-Entanglement and Drag Reduction Performance. Smart Agricultural Technology, 2025(12): 101586.
Zou Z, Li J, Wang X, et al., 2025, Wear Resistance Enhancement of Rotary Tillage Blades Through Structural Optimization and Surface Strengthening. Materials, 18(21): 5006.
Vrublevskyi O, Olejniczak K, Napiorkowski J, et al., 2025, Modeling Wear of Different Surface Layers of Agricultural Tools in Soil Abrasive Mass. Measurement, 2025(242): 116076.
Zeng J, Ma Y, Fang Z, et al., 2024, Process Optimization and Wear Performance of Plasma-Cladding Fe5 Coatings on Rotary Tillage Blades. Applied Sciences, 15(1): 77.
Khoroshko L, Kuznetsov P, 2020, Digitalization of Agricultural Machinery Rehabilitation. Engineering Technologies and Systems, 30(4): 711–722.
Wang B, Zhu J, Chai X, et al., 2025, Research Status and Development Trend of Key Technology of Agricultural Machinery Chassis in Hilly and Mountainous Areas. Computers and Electronics in Agriculture, 2025(226): 109447.
Xue G, Liu H, Wang G, et al., 2025, Design and Performance Testing of a Motorized Machine-Mounted Self-Leveling Platform for Hilly Orchards. Agriculture, 15(23): 2512.
Kumar V, Sharma K, Kedam N, et al., 2024, A Comprehensive Review on Smart and Sustainable Agriculture Using IoT Technologies. Smart Agricultural Technology, 2024(8): 100487.
Wang P, Yue M, Yang L, et al., 2024, Design and Test of Intelligent Farm Machinery Operation Control Platform for Unmanned Farms. Agronomy, 14(4): 804.
Sun P, Liu X, 2025, Research on Remote Operation and Maintenance Based on Digital Twin Technology. Machines, 13(2): 151.
Share
Back to top
Bio-Byword Scientific Publishing Pty. Ltd.
We are committed to supporting the scientific community by publishing impactful research and fostering effective communication among scientists. We continuously seek ways to accelerate scientific progress while upholding transparency and open dialogue. Our goal is to make knowledge freely and barrier‑free accessible to all.
Contact us: info@bbwpublisher.com
Level 10, 50 Clarence Street Sydney, NSW 2000 Australia