Internet of agriculture: Analyzing and predicting tractor ride comfort through supervised machine learning
The aim of this study is to improve ride comfort among tractor drivers by utilizing Internet of
Things (IoT) technology and Machine Learning (ML) techniques to analyze and predict …
Things (IoT) technology and Machine Learning (ML) techniques to analyze and predict …
Real-time Adaptive Tractor Ride Comfort Adjustment System Based on machine learning Method
H Tian, A Ji - IEEE Access, 2024 - ieeexplore.ieee.org
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 …
vibrations during tractor operations pose significant health risks to drivers, such as …
Development of a model for the optimization of the main factors influencing a 162kW wheeled tractor driver's whole body vibration
L Sun, T Shang, H Chen, Z Wang… - Journal of Low …, 2024 - journals.sagepub.com
The vibration tests were carried out using a 162kW wheeled tractor to evaluate the Whole-
body vibration while the tractor working in the field, driving on concrete road and in-parking …
body vibration while the tractor working in the field, driving on concrete road and in-parking …