FOSS4G-Asia 2024

Real-Time Monitoring and Positioning of Agricultural Tractors Using a Low-Cost GNSS and IoT Device
12-16, 16:35–16:55 (Asia/Bangkok), Room34-1104

This research aims to develop a low-cost GNSS receiver device for positioning agricultural tractors, incorporating Differential GPS (DGPS) technology for enhanced accuracy using free and open source software. Integrated with IoT technology, the device was tested to receive GNSS data and other relevant information, including geographic coordinates (latitude and longitude), tractor speed, tractor direction, date, time, and the number of satellites receiving signals. The DGPS setup involves using one receiver as a base station and another on the tractor, where the base station provides correction data to improve positioning accuracy. The data collected by the receiver is transmitted to a signal processing device for mapping the coordinates, creating a route of the tractor's movement that is displayed on a real-time Web Map Application. This process includes error correction to ensure high accuracy. The IoT device was installed on the left rear wheel of the agricultural tractor. Test results show that the data from the developed device has an average accuracy of 22 centimeters, which is acceptable and sufficient for agricultural tractor positioning applications. Furthermore, this system enables real-time monitoring of the tractor's operations.


In the realm of precision agriculture, accurate positioning and real-time monitoring of agricultural machinery are critical for enhancing productivity and efficiency. This study presents a cost-effective solution leveraging a low-cost Global Navigation Satellite System (GNSS) receiver integrated with Internet of Things (IoT) technology for the real-time positioning of agricultural tractors. Utilizing Differential GPS (DGPS) technology, the developed device significantly improves accuracy by using a base station to provide correction data. The system collects comprehensive data, including geographic coordinates, tractor speed and direction, date, time, and satellite signal reception. The data is processed and displayed on a real-time Web Map Application, using GeoServer, Leaflet, PostGIS, geoJSON etc, allowing for detailed mapping and monitoring of tractor movements. The innovative setup achieves an average accuracy of 22 centimeters, making it a viable option for various agricultural applications where precision is paramount. This research showcases the potential of affordable GNSS and IoT solutions in modernizing agricultural practices and optimizing field operations.

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