TOWARDS DEVELOPMENT AND VERIFICATION OF ADVANCED OPTIMAL FARM
MACHINERY ROUTE ALGORITHM

D 2021

TOWARDS DEVELOPMENT AND VERIFICATION OF ADVANCED OPTIMAL FARM MACHINERY ROUTE ALGORITHM

ŘEZNÍK, Tomáš; Martina KLOCOVÁ; Filip LEITNER; Tomáš PAVELKA; Lukáš HERMAN et. al.

Basic information

Original name

TOWARDS DEVELOPMENT AND VERIFICATION OF ADVANCED OPTIMAL FARM MACHINERY ROUTE ALGORITHM

Authors

ŘEZNÍK, Tomáš (203 Czech Republic, guarantor, belonging to the institution); Martina KLOCOVÁ (203 Czech Republic); Filip LEITNER (703 Slovakia, belonging to the institution); Tomáš PAVELKA (203 Czech Republic, belonging to the institution); Lukáš HERMAN (203 Czech Republic, belonging to the institution); Jakub HRÁDEK (203 Czech Republic, belonging to the institution); Šimon LEITGEB (203 Czech Republic, belonging to the institution); Kateřina TROJANOVÁ (203 Czech Republic, belonging to the institution) and Milan KONEČNÝ (203 Czech Republic, belonging to the institution)

Edition

Ostrava, GIS Ostrava 2021 – Advances in Localization and Navigation, p. 1-8, 8 pp. 2021

Publisher

VSB - Technical University of Ostrava

Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

10508 Physical geography

Country of publisher

Czech Republic

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

References:

online verze příspěvku

RIV identification code

RIV/00216224:14310/21:00121588

Organization unit

Faculty of Science

ISBN

978-80-248-4505-0

ISSN

DOI

https://doi.org/10.31490/9788024845050-13

Keywords in English

Controlled Traffic Farming; semi-autonomous driving; navigation

Abstract

In the original language

Efforts related to minimising the environmental burden caused by agricultural activities are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using on-line optimization of route planning for soil-sensitive field operations. The research presented in this paper aims at optimizing farm machinery routes to minimize the environmental burden. As such, it further advances existing CTF solutions by its complexity including (1) efficient field divisions, (2) U-turns in headlands, (3) obstacles in a farm machinery route and (4) terrain specifics. The developed algorithm is expressed as UML activity diagrams as well as pseudo-code. Results were visualized in 2D and 3D to demonstrate terrain impact. Verifications were conducted at a fully operational commercial farm (Rostěnice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories. The developed algorithm addresses two main viewpoints: economic (saved route, fuel and time) and environmental (among other, reductions of soil compactness and erosion, an increase of soil infiltration rate).

Links

818346, interní kód MU

Name: Si-EU-Soil (Acronym: SIEUSIOL)

Investor: European Union, Food security, sustainable agriculture and forestry, marine and maritime and inland water research (Societal Challenges)

Cite

ŘEZNÍK, Tomáš; Martina KLOCOVÁ; Filip LEITNER; Tomáš PAVELKA; Lukáš HERMAN; Jakub HRÁDEK; Šimon LEITGEB; Kateřina TROJANOVÁ and Milan KONEČNÝ. TOWARDS DEVELOPMENT AND VERIFICATION OF ADVANCED OPTIMAL FARM MACHINERY ROUTE ALGORITHM. Online. In Michal Kačmařík, Jan Růžička. GIS Ostrava 2021 – Advances in Localization and Navigation. Ostrava: VSB - Technical University of Ostrava, 2021, p. 1-8. ISBN 978-80-248-4505-0. Available from: https://doi.org/10.31490/9788024845050-13.

@inproceedings{1768596,
   author = {Řezník, Tomáš and Klocová, Martina and Leitner, Filip and Pavelka, Tomáš and Herman, Lukáš and Hrádek, Jakub and Leitgeb, Šimon and Trojanová, Kateřina and Konečný, Milan},
   address = {Ostrava},
   booktitle = {GIS Ostrava 2021 – Advances in Localization and Navigation},
   doi = {https://doi.org/10.31490/9788024845050-13},
   editor = {Michal Kačmařík, Jan Růžička},
   keywords = {Controlled Traffic Farming; semi-autonomous driving; navigation},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Ostrava},
   isbn = {978-80-248-4505-0},
   pages = {1-8},
   publisher = {VSB - Technical University of Ostrava},
   title = {TOWARDS DEVELOPMENT AND VERIFICATION OF ADVANCED OPTIMAL FARM MACHINERY ROUTE ALGORITHM},
   url = {http://gisak.vsb.cz/GIS_Ostrava/GIS_Ova_2021/proceedings/papers/gis20215ff8351088c66.pdf},
   year = {2021}
}

TY  - CONF
ID  - 1768596
AU  - Řezník, Tomáš - Klocová, Martina - Leitner, Filip - Pavelka, Tomáš - Herman, Lukáš - Hrádek, Jakub - Leitgeb, Šimon - Trojanová, Kateřina - Konečný, Milan
PY  - 2021
TI  - TOWARDS DEVELOPMENT AND VERIFICATION OF ADVANCED OPTIMAL FARM MACHINERY ROUTE ALGORITHM
PB  - VSB - Technical University of Ostrava
CY  - Ostrava
SN  - 9788024845050
KW  - Controlled Traffic Farming
KW  - semi-autonomous driving
KW  - navigation
UR  - http://gisak.vsb.cz/GIS_Ostrava/GIS_Ova_2021/proceedings/papers/gis20215ff8351088c66.pdf
N2  - Efforts related to minimising the environmental burden caused by agricultural activities are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using on-line optimization of route planning for soil-sensitive field operations. The research presented in this paper aims at optimizing farm machinery routes to minimize the environmental burden. As such, it further advances existing CTF solutions by its complexity including (1) efficient field divisions, (2) U-turns in headlands, (3) obstacles in a farm machinery route and (4) terrain specifics. The developed algorithm is expressed as UML activity diagrams as well as pseudo-code. Results were visualized in 2D and 3D to demonstrate terrain impact. Verifications were conducted at a fully operational commercial farm (Rostěnice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories. The developed algorithm addresses two main viewpoints: economic (saved route, fuel and time) and environmental (among other, reductions of soil compactness and erosion, an increase of soil infiltration rate).
ER  -

ŘEZNÍK, Tomáš; Martina KLOCOVÁ; Filip LEITNER; Tomáš PAVELKA; Lukáš HERMAN; Jakub HRÁDEK; Šimon LEITGEB; Kateřina TROJANOVÁ and Milan KONEČNÝ. TOWARDS DEVELOPMENT AND VERIFICATION OF ADVANCED OPTIMAL FARM MACHINERY ROUTE ALGORITHM. Online. In Michal Kačmařík, Jan Růžička. \textit{GIS Ostrava 2021 – Advances in Localization and Navigation}. Ostrava: VSB - Technical University of Ostrava, 2021, p.~1-8. ISBN~978-80-248-4505-0. Available from: https://doi.org/10.31490/9788024845050-13.

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