Search
2023-07-19
Real-time vibration monitoring and analysis of agricultural tractor drivers using an IoT-based system

MAY 25, 2023 | JOURNAL OF FIELD ROBOTICS

 

A recent study conducted by the University of Waterloo, Canada, along with institutes from the UAE, USA, and India, focused on the vibration exposure experienced by agricultural tractor drivers, particularly during soil tillage operations. While previous research mainly examined vertical vibration (z-axis), this study investigated the effects of rotary soil tillage on vibration acceleration, frequency, and power spectral densities (PSDs) along the three translational axes: x, y, and z. To ensure safety during the COVID-19 pandemic, the study utilized an Internet of Things (IoT) module for online data transmission, integrating with existing data loggers. Results revealed that vibration energy was more dominant along the z-axis, exceeding the exposure action value defined by Directive 2002/44/EU. PSDs indicated low-frequency vibrations induced by rotary soil tillage, while the seat-to-head transmissibility (STHT) response demonstrated higher transmissibility along the y and z axes compared to the x-axis. The frequency range of 4-7 Hz was associated with potential cognitive impairment in tractor drivers during rotary soil tillage. This study sheds light on the significant vibration exposure in agricultural settings, emphasizing the need for interventions to ensure the well-being and safety of tractor drivers.

Representation of rotavator (a) and dimensions of the Cshaped blade (in mm) (b).

Viewed Articles
Real-time vibration monitoring and analysis of agricultural tractor drivers using an IoT-based system
MAY 25, 2023 | JOURNAL OF FIELD ROBOTICS A recent study conducted by the University of Waterloo, Canada, along with institutes from the UAE, USA, and India, focused on the vibration exposure experienc
Jul 19, 2023
Read More
Agentic artificial intelligence-driven digital twin for real-time irrigation control with fuzzy sustainability objectives
April 15, 2026 | IJOCTA | Introduction: Real-time irrigation management faces a fundamental challenge: existing frameworks typically use either static optimization models or reactive threshold-based c
Integrative approaches in modern agriculture: IoT, ML and AI for disease forecasting amidst climate change
June 28, 2024 | Precision Agriculture | Introduction: Climate change is compounding the challenge of plant disease management by shifting the conditions under which pathogens survive, spread, and caus
Ecological intensification to mitigate impacts of conventional intensive land use on pollinators and pollination
March 27, 2017 | Ecology Letters |Introduction: Human land use has already altered roughly 53% of Earth's terrestrial surface, and agricultural land is projected to expand a further 10% by 2030, i
Reinforcement learning-based model predictive control for greenhouse climate control
March, 2025 | Smart Agricultural Technology | Introduction: Model predictive control (MPC) is a promising approach for greenhouse climate management, but its reliance on accurate prediction models mak
A review on enhancing water productivities adaptive to climate change
February 5, 2025 | Journal of Water and Climate Change | Introduction: Climate change is intensifying water scarcity and disrupting seasonal rainfall patterns, particularly in tropical and smallholder
TOP