Application of non-base station positioning system in rice transplanting

Abstract. Rice transplanting machines have significantly increased the efficiency of rice planting and reduced labor costs. However, the transportation and loading of rice seedlings in the paddy fields still require a substantial amount of labor. In response to this need, implementing a fully automated rice transportation and loading system has become a demand for some enterprises, with the positioning of the rice transplanting machine being a critical subsystem to help locate the transportation destination. This paper, based on the theories of micro-controllers and multi-target positioning algorithms without base stations, utilizes literature review and theoretical analysis to design a base-station-free positioning system on a micro-controller. The system uses the Inertial Measurement Unit (IMU) module of the lower machine to collect the relative positions of the path nodes of the rice transplant machine. The upper machine's Multi-target Dead Reckoning (MDR) algorithm then determines the actual path, thereby pinpointing the specific location of the transplanter. This design will help complete the positioning of the rice transplanting machine in the paddy fields, reduce the impact of environmental factors on positioning accuracy, and lower the modification costs.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-08
DOI
https://doi.org/10.54254/2755-2721/103/20241016
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

Application of non-base station positioning system in rice transplanting

Yujun Zhao
Applied and Computational Engineering
Advanced Algorithms and Applications
article

Application of non-base station positioning system in rice transplanting

Yujun Zhao
article en

Abstract

Abstract. Rice transplanting machines have significantly increased the efficiency of rice planting and reduced labor costs. However, the transportation and loading of rice seedlings in the paddy fields still require a substantial amount of labor. In response to this need, implementing a fully automated rice transportation and loading system has become a demand for some enterprises, with the positioning of the rice transplanting machine being a critical subsystem to help locate the transportation destination. This paper, based on the theories of micro-controllers and multi-target positioning algorithms without base stations, utilizes literature review and theoretical analysis to design a base-station-free positioning system on a micro-controller. The system uses the Inertial Measurement Unit (IMU) module of the lower machine to collect the relative positions of the path nodes of the rice transplant machine. The upper machine's Multi-target Dead Reckoning (MDR) algorithm then determines the actual path, thereby pinpointing the specific location of the transplanter. This design will help complete the positioning of the rice transplanting machine in the paddy fields, reduce the impact of environmental factors on positioning accuracy, and lower the modification costs.

Applied and Computational EngineeringVol. 103(1)
Hangzhou Dianzi University (CN)
Decent work and economic growth
Openalex Percentile: Top 76%
Advanced Algorithms and Applications
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