Advanced smart data acquisition system for agricultural tractor–implement performance analysis using IoT, edge computing, and real-time signal processing
DOI:
https://doi.org/10.24054/iss.v1i6.4495Keywords:
precision agriculture, data acquisition systems, agricultural tractors, IoT, edge computing, signal processing, smart farming, agricultural engineeringAbstract
The digital transformation of agricultural engineering has accelerated the development of intelligent systems for monitoring and analyzing agricultural tractor–implement performance. This study presents the design and validation of an advanced smart data acquisition system based on IoT, edge computing, and real-time signal processing for precision agriculture applications. The proposed architecture integrates intelligent sensors, embedded electronics, signal conditioning and analog-to-digital conversion modules, wireless communication, and real-time analytics tools for monitoring variables such as torque, rotational speed, traction force, fuel consumption, and vibration. The system incorporates preprocessing and digital filtering techniques that improve measurement accuracy and reliability under dynamic laboratory and field conditions. Experimental results demonstrate a scalable, portable, and low-cost solution compatible with Industry 4.0 agricultural infrastructures. Furthermore, the platform enables the generation of high-quality datasets suitable for future artificial intelligence, predictive maintenance, and operational optimization applications in sustainable mechanized farming systems.
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Copyright (c) 2025 Luis Alejandro Madrigal Valdez, Carlos Henríquez Hernández Garnelo, Tamara Hernández Güemes, Rigoberto Estévez Valle
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