Open Access

ARTICLE

Application of Low Cost Integrated Navigation System in Precision Agriculture

Qi Wang^1,2,3,*, Changsong Yang^2,3,5, Yuxiang Wang^1,2,3, 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:

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

Received 10 January 2019; Accepted 11 July 2020; Issue published 24 December 2020

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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Citations