Design of an intelligent Navigation System for Unmanned Rice Transplanters Based on the Beidou Satellite Navigation System
Agricultural mechanization is a vital indicator of agricultural modernization. Historical developments in China and abroad demonstrate that agricultural machinery has fundamentally transformed production methods. With the advancement of agricultural mechanization, improving production efficiency is...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2025/04/matecconf_menec2025_04004.pdf |
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| author | Chen Jialu Chen Kaixin Qiu Xinyu |
| author_facet | Chen Jialu Chen Kaixin Qiu Xinyu |
| author_sort | Chen Jialu |
| collection | DOAJ |
| description | Agricultural mechanization is a vital indicator of agricultural modernization. Historical developments in China and abroad demonstrate that agricultural machinery has fundamentally transformed production methods. With the advancement of agricultural mechanization, improving production efficiency is crucial for ensuring food security. Rice, as one of China’s primary food crops, relies heavily on transplanting—a critical stage in rice cultivation. High-efficiency transplanting technology forms the foundation of rice production. However, traditional transplanters in China still suffer from low automation, slow operation, and inefficiency. Autonomous navigation technology, a core element of modern agricultural intelligence, can significantly enhance rice planting efficiency. This paper analyzes the feasibility of unmanned intelligent transplanter navigation technology based on an overview of traditional transplanter technologies and their limitations. A BeiDou Navigation Satellite System (BDS)-based autonomous navigation system for unmanned rice transplanters is proposed, integrating multi-sensor fusion. Subsequent optimization enables path planning for the transplanter. Finally, prospects for multi-machine collaboration in future smart agriculture are discussed. |
| format | Article |
| id | doaj-art-39fcdf24aa5f4f1595369970303300d2 |
| institution | Kabale University |
| issn | 2261-236X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj-art-39fcdf24aa5f4f1595369970303300d22025-08-20T03:58:36ZengEDP SciencesMATEC Web of Conferences2261-236X2025-01-014100400410.1051/matecconf/202541004004matecconf_menec2025_04004Design of an intelligent Navigation System for Unmanned Rice Transplanters Based on the Beidou Satellite Navigation SystemChen Jialu0Chen Kaixin1Qiu Xinyu2College of Mechanical Engineering, Taiyuan University of TechnologyInstitute of Mechanical Engineering, Rail Transit and Intelligent Manufacturing Entrepreneurship， Changzhou UniversityPortland College, Nanjing University of Posts and TelecommunicationsAgricultural mechanization is a vital indicator of agricultural modernization. Historical developments in China and abroad demonstrate that agricultural machinery has fundamentally transformed production methods. With the advancement of agricultural mechanization, improving production efficiency is crucial for ensuring food security. Rice, as one of China’s primary food crops, relies heavily on transplanting—a critical stage in rice cultivation. High-efficiency transplanting technology forms the foundation of rice production. However, traditional transplanters in China still suffer from low automation, slow operation, and inefficiency. Autonomous navigation technology, a core element of modern agricultural intelligence, can significantly enhance rice planting efficiency. This paper analyzes the feasibility of unmanned intelligent transplanter navigation technology based on an overview of traditional transplanter technologies and their limitations. A BeiDou Navigation Satellite System (BDS)-based autonomous navigation system for unmanned rice transplanters is proposed, integrating multi-sensor fusion. Subsequent optimization enables path planning for the transplanter. Finally, prospects for multi-machine collaboration in future smart agriculture are discussed.https://www.matec-conferences.org/articles/matecconf/pdf/2025/04/matecconf_menec2025_04004.pdf |
| spellingShingle | Chen Jialu Chen Kaixin Qiu Xinyu Design of an intelligent Navigation System for Unmanned Rice Transplanters Based on the Beidou Satellite Navigation System MATEC Web of Conferences |
| title | Design of an intelligent Navigation System for Unmanned Rice Transplanters Based on the Beidou Satellite Navigation System |
| title_full | Design of an intelligent Navigation System for Unmanned Rice Transplanters Based on the Beidou Satellite Navigation System |
| title_fullStr | Design of an intelligent Navigation System for Unmanned Rice Transplanters Based on the Beidou Satellite Navigation System |
| title_full_unstemmed | Design of an intelligent Navigation System for Unmanned Rice Transplanters Based on the Beidou Satellite Navigation System |
| title_short | Design of an intelligent Navigation System for Unmanned Rice Transplanters Based on the Beidou Satellite Navigation System |
| title_sort | design of an intelligent navigation system for unmanned rice transplanters based on the beidou satellite navigation system |
| url | https://www.matec-conferences.org/articles/matecconf/pdf/2025/04/matecconf_menec2025_04004.pdf |
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