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Application of Low Cost Integrated Navigation System in Precision Agriculture

Qi Wang1,2,3,*, Changsong Yang2,3,5, Yuxiang Wang1,2,3, Shao-en Wu4

1 School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China
2 Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing, 210044, China
3 Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, 210044, China
4 Department of Computer Science, Ball State University, Muncie, 47306, USA
5 School of Automation, Nanjing University of Information Science and Technology, Nanjing, 210044, China

* Corresponding Author: Qi Wang. Email: email

Intelligent Automation & Soft Computing 2020, 26(6), 1433-1442. https://doi.org/10.32604/iasc.2020.012759

Abstract

To improve the positioning accuracy of farming vehicle in precision agriculture, an integrated positioning system is proposed based on Global Navigation Satellite System (GNSS)/Strapdown Inertial Navigation System (SINS)/Wireless Sensor Networks (WSN) with low cost and high reliability. The principles of commonly used localization technologies in vehicle positioning are compared and the Received Signal Strength Indication (RSSI) based measurement method is chosen as the integrated positioning system for information fusion considering the complexity of the algorithm, positioning accuracy and hardware requirements in the application scenario. The research of wireless signal propagation loss model of farmland environment was conducted. A set of GNSS/SINS/WSN integrated positioning system is designed and implemented based on the requirement analysis of low cost, high reliability and precision. Simulation experiments were conducted and the results show that integrated positioning system can improve the position accuracy of agricultural machinery and meet the precision positioning requirements of agricultural machinery.

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Cite This Article

Q. Wang, C. Yang, Y. Wang and S. Wu, "Application of low cost integrated navigation system in precision agriculture," Intelligent Automation & Soft Computing, vol. 26, no.6, pp. 1433–1442, 2020.

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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