Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera

Erkin Turkoz; Ertug Olcay; Timo Oksanen

doi:10.1109/IST50367.2021.9651338

Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera

Erkin Turkoz
, Ertug Olcay
, Timo Oksanen

Associate Professorship of Agrimechatronics

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper proposes a concept of computer vision-based guidance assistance for agricultural vehicles to increase the accuracy in plowing and reduce driver's cognitive burden in long-lasting tillage operations. Plowing is a common agricultural practice to prepare the soil for planting in many countries and it can take place both in the spring and the fall. Since plowing operation requires high traction forces, it causes increased energy consumption. Moreover, longer operation time due to unnecessary maneuvers leads to higher fuel consumption. To provide necessary information for the driver and the control unit of the tractor, a first concept of furrow detection system based on an RGB-D camera was developed.

Original language	English
Title of host publication	IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728173719
DOIs	https://doi.org/10.1109/IST50367.2021.9651338
State	Published - 2021
Event	2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021 - Virtual, New York, United States Duration: 24 Aug 2021 → 26 Aug 2021

Publication series

Name	IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings

Conference

Conference	2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021
Country/Territory	United States
City	Virtual, New York
Period	24/08/21 → 26/08/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

agricultural machinery
computer vision
deep learning
edge detection
guidance assistance

Access to Document

10.1109/IST50367.2021.9651338

Cite this

Turkoz, E., Olcay, E., & Oksanen, T. (2021). Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera. In IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings (IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IST50367.2021.9651338

Turkoz, Erkin ; Olcay, Ertug ; Oksanen, Timo. / Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera. IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings).

@inproceedings{00ef845c8de14ae28b9439c8f6993e36,

title = "Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera",

abstract = "This paper proposes a concept of computer vision-based guidance assistance for agricultural vehicles to increase the accuracy in plowing and reduce driver's cognitive burden in long-lasting tillage operations. Plowing is a common agricultural practice to prepare the soil for planting in many countries and it can take place both in the spring and the fall. Since plowing operation requires high traction forces, it causes increased energy consumption. Moreover, longer operation time due to unnecessary maneuvers leads to higher fuel consumption. To provide necessary information for the driver and the control unit of the tractor, a first concept of furrow detection system based on an RGB-D camera was developed.",

keywords = "agricultural machinery, computer vision, deep learning, edge detection, guidance assistance",

author = "Erkin Turkoz and Ertug Olcay and Timo Oksanen",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021 ; Conference date: 24-08-2021 Through 26-08-2021",

year = "2021",

doi = "10.1109/IST50367.2021.9651338",

language = "English",

series = "IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings",

}

Turkoz, E, Olcay, E & Oksanen, T 2021, Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera. in IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings. IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021, Virtual, New York, United States, 24/08/21. https://doi.org/10.1109/IST50367.2021.9651338

Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera. / Turkoz, Erkin; Olcay, Ertug; Oksanen, Timo.
IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera

AU - Turkoz, Erkin

AU - Olcay, Ertug

AU - Oksanen, Timo

PY - 2021

Y1 - 2021

N2 - This paper proposes a concept of computer vision-based guidance assistance for agricultural vehicles to increase the accuracy in plowing and reduce driver's cognitive burden in long-lasting tillage operations. Plowing is a common agricultural practice to prepare the soil for planting in many countries and it can take place both in the spring and the fall. Since plowing operation requires high traction forces, it causes increased energy consumption. Moreover, longer operation time due to unnecessary maneuvers leads to higher fuel consumption. To provide necessary information for the driver and the control unit of the tractor, a first concept of furrow detection system based on an RGB-D camera was developed.

AB - This paper proposes a concept of computer vision-based guidance assistance for agricultural vehicles to increase the accuracy in plowing and reduce driver's cognitive burden in long-lasting tillage operations. Plowing is a common agricultural practice to prepare the soil for planting in many countries and it can take place both in the spring and the fall. Since plowing operation requires high traction forces, it causes increased energy consumption. Moreover, longer operation time due to unnecessary maneuvers leads to higher fuel consumption. To provide necessary information for the driver and the control unit of the tractor, a first concept of furrow detection system based on an RGB-D camera was developed.

KW - agricultural machinery

KW - computer vision

KW - deep learning

KW - edge detection

KW - guidance assistance

UR - https://www.scopus.com/pages/publications/85124352385

U2 - 10.1109/IST50367.2021.9651338

DO - 10.1109/IST50367.2021.9651338

M3 - Conference contribution

AN - SCOPUS:85124352385

T3 - IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings

BT - IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Imaging Systems and Techniques, IST 2021

Y2 - 24 August 2021 through 26 August 2021

ER -

Turkoz E, Olcay E, Oksanen T. Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera. In IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. (IST 2021 - IEEE International Conference on Imaging Systems and Techniques, Proceedings). doi: 10.1109/IST50367.2021.9651338

Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this