An IoT-Enabled Tractor Data Sensing System for Precision Agriculture

Precision agriculture is an emerging field that aims to optimize agricultural operations by utilizing advanced technologies and data-driven approaches. Precision agriculture relies on data collection and analysis from the field using various sensors and devices. In this paper, we propose and implement an IoT-enabled data sensing system for tractors. This system can be envisaged as having four levels: data collection level, communication level, cloud database and analysis level, and visualization level. The system was deployed on a tractor to collect and analyze data from the field using simple and inexpensive sensors. Using a custom-built web application, the system is able to display performance data of the tractor and its associated agricultural machinery. The performance of the system is assessed by field experiments. The findings indicate that the implementation of the system has the potential to enhance the efficiency and operational capabilities of tractor and agricultural machinery within the context of Precision Agriculture. This technology has the potential to improve the efficiency, and sustainability of agricultural operations.