Real-Time Adaptive Tractor Ride Comfort Adjustment System Based on Machine Learning Method
Tractors are among the most widely used machinery in agriculture. However, low-frequency vibrations during tractor operations pose significant health risks to drivers, such as musculoskeletal disorders, and negatively impact ride comfort. Current approaches rely on offline comfort prediction models,...
Saved in:
Main Authors: | Hu Tian, Anping Ji |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10816406/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design of Multi-mode Hydraulic Mechanical Composite Transmission Device for Tractor
by: Wang Haoran, et al.
Published: (2020-03-01) -
Design and Construction of Chassis Dynamometer for On-Site Testing of Tractors
by: Hasan Shahbazi, et al.
Published: (2024-12-01) -
RESEARCH OF WHEELED TRACTOR ROLL STABILITY BASED ON VIRTUAL PROTOTYPING TECHNOLOGY
by: ZHANG WenHua, et al.
Published: (2017-01-01) -
Safe Tractor Operations: Loading and Towing
by: Serap Gorucu, et al.
Published: (2024-07-01) -
Safety Work as a Factor in Reducing the Number of Injuries of Tractor Operators
by: Tomislav Jurić, et al.
Published: (2025-01-01)