Day, Lachlan (2023) Design and Development of a Data Model for Fertilizer Spreading Based on 3-Point Hitch Implementation. [USQ Project]
Abstract
Precision agriculture has revolutionized modern farming systems by optimizing resource utilization and enhancing crop productivity. One of the key components in precision agriculture is the accurate measurement of fertilizer application rates. 3-point linkage spreaders are commonly used for fertilizer application due to their cost-effectiveness, simplicity, and reduced soil compaction. However, a major challenge in these spreaders is the lack of a reliable and accurate weighing system, which hinders precise variable-rate applications.
This research project investigated developing an accurate model for determining the weight of fertilizer in a 3-point linkage spreader during operation. The proposed model integrates load cells within the spreader's quick hitch frame and utilizes data from a high-precision GPS system mounted on the tractor. By collecting data on weight changes and the tractor's position and orientation, the model seeks to provide real-time accurate readings of the amount of fertilizer in the spreader.
A robust data collection system was implemented with data from multiple sensors collected and analyzed. From this, a mathematical model was constructed that relates weight changes to operational parameters. The developed model will not only improve the accuracy of fertilizer application but also eliminate the need for pre-operation testing and manual adjustments. This will lead to more efficient and precise variable rate applications, ultimately enhancing crop yields and minimizing environmental impact.
The research methodology involves field testing on various terrains, including flat surfaces, sharp depressions, and slopes. Data was collected from load cells, gyroscopes, accelerometers, and GPS systems during static and dynamic tests. The collected data will be analyzed and used to develop a comprehensive model that accurately estimates the weight of fertilizer in the spreader at any given time.
The key findings of this research demonstrate the exceptional accuracy achieved by the developed real-time weight measurement model for 3-point linkage fertilizer spreaders in precision agriculture. Applying a Kalman model to the data yielded estimations with a standard deviation of less than 1% (0.641%) of the entire system mass (22.4 kilograms of deviation) and a spread of only 2.1% (73.6 kilograms). This level of precision underscores the model's effectiveness in providing highly accurate weight estimations during the spreader's operation.
In conclusion, this research project proved that this technology can bridge the gap in precision agriculture. By developing an accurate real-time weight measurement model for 3-point linkage fertilizer spreaders which then can be used for accurate application calibration. The potential benefits of this model include improved crop productivity, reduced environmental impact, and enhanced agricultural efficiency. This project aligns with the ongoing advancements in precision agriculture, contributing to the sustainable future of farming practices
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| Item Type: | USQ Project |
|---|---|
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -) |
| Supervisors: | Leis, John |
| Qualification: | Bachelor of Engineering (Honours) (Agricultural) |
| Date Deposited: | 24 Sep 2025 04:02 |
| Last Modified: | 24 Sep 2025 04:02 |
| Uncontrolled Keywords: | fertilizer; agriculture; crop productivity |
| URI: | https://sear.unisq.edu.au/id/eprint/52940 |
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