research-article

Development of a Prototype of Autonomous Vehicle for Agriculture Applications

Authors:

Peerapol Chemhengcharoen,

Peeranut Nilsumrit,

Pornsinee Pongpetrarat,

Gridsada PhanomchoengAuthors Info & Claims

ICCBN '19: Proceedings of the 7th International Conference on Communications and Broadband Networking

Pages 53 - 57

https://doi.org/10.1145/3330180.3330191

Published: 12 April 2019 Publication History

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Abstract

A prototype of autonomous vehicle is developed on a 1/5th scale vehicle. The control system utilizes the open source software and hardware, PIXHAWK, to control the autonomous vehicle. With the RTK GPS module, the autonomous vehicle can follow the designed trajectory with error less than 16 centimeters. Also, the autonomous vehicle is installed with a 2 Lidar sensors to detect obstacles. So it can avoid obstacles. With these abilities, the autonomous vehicle can be used for agricultural applications such as fertilizer spreader or weed killer sprayer. Moreover, with modifying the actuators of a full size agricultural vehicle, this control system could be installed into it. To demonstrate the application, this project develops the autonomous vehicle for fertilizer spreader.

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da Rosa Righi RGoldschmidt GKunst RDeon CAndré da Costa C(2022)Towards combining data prediction and internet of things to manage milk production on dairy cowsComputers and Electronics in Agriculture10.1016/j.compag.2019.105156169:COnline publication date: 21-Apr-2022
https://dl.acm.org/doi/10.1016/j.compag.2019.105156
Khosyi'in MBudisusila EDwi Prasetyowati SSuprapto BNawawi Z(2021)Design of Autonomous Vehicle Navigation Using GNSS Based on Pixhawk 2.12021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)10.23919/EECSI53397.2021.9624244(175-180)Online publication date: 20-Oct-2021
https://doi.org/10.23919/EECSI53397.2021.9624244
Trzyniec KKowalewski A(2020)Use of an Artificial Neural Network to Assess the Degree of Training of an Operator of Selected Devices Used in Precision AgricultureEnergies10.3390/en1323632913:23(6329)Online publication date: 30-Nov-2020
https://doi.org/10.3390/en13236329

Index Terms

Development of a Prototype of Autonomous Vehicle for Agriculture Applications
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
      1. Robotic autonomy

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ICCBN '19: Proceedings of the 7th International Conference on Communications and Broadband Networking

April 2019

76 pages

ISBN:9781450362474

DOI:10.1145/3330180

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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UPM: Universiti Putra Malaysia
NITech: Nagoya Institute of Technology
Iv. Javakhishvili Tbilisi State University, Georgia

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Association for Computing Machinery

New York, NY, United States

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Published: 12 April 2019

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ICCBN 2019: 2019 7th International Conference on Communications and Broadband Networking

April 12 - 15, 2019

Nagoya, Japan

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da Rosa Righi RGoldschmidt GKunst RDeon CAndré da Costa C(2022)Towards combining data prediction and internet of things to manage milk production on dairy cowsComputers and Electronics in Agriculture10.1016/j.compag.2019.105156169:COnline publication date: 21-Apr-2022
https://dl.acm.org/doi/10.1016/j.compag.2019.105156
Khosyi'in MBudisusila EDwi Prasetyowati SSuprapto BNawawi Z(2021)Design of Autonomous Vehicle Navigation Using GNSS Based on Pixhawk 2.12021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)10.23919/EECSI53397.2021.9624244(175-180)Online publication date: 20-Oct-2021
https://doi.org/10.23919/EECSI53397.2021.9624244
Trzyniec KKowalewski A(2020)Use of an Artificial Neural Network to Assess the Degree of Training of an Operator of Selected Devices Used in Precision AgricultureEnergies10.3390/en1323632913:23(6329)Online publication date: 30-Nov-2020
https://doi.org/10.3390/en13236329

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The Exploration of Autonomous Vehicle Driving Styles: Preferred Longitudinal, Lateral, and Vertical Accelerations

Autonomous vehicle parallel parking design using function fitting approaches

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