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.

Základní údaje

Originální název

TOWARDS DEVELOPMENT AND VERIFICATION OF ADVANCED OPTIMAL FARM MACHINERY ROUTE ALGORITHM

Autoři

ŘEZNÍK, Tomáš (203 Česká republika, garant, domácí); Martina KLOCOVÁ (203 Česká republika); Filip LEITNER (703 Slovensko, domácí); Tomáš PAVELKA (203 Česká republika, domácí); Lukáš HERMAN (203 Česká republika, domácí); Jakub HRÁDEK (203 Česká republika, domácí); Šimon LEITGEB (203 Česká republika, domácí); Kateřina TROJANOVÁ (203 Česká republika, domácí) a Milan KONEČNÝ (203 Česká republika, domácí)

Vydání

Ostrava, GIS Ostrava 2021 – Advances in Localization and Navigation, od s. 1-8, 8 s. 2021

Nakladatel

VSB - Technical University of Ostrava

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10508 Physical geography

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

online verze příspěvku

Kód RIV

RIV/00216224:14310/21:00121588

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-80-248-4505-0

ISSN

DOI

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

Klíčová slova anglicky

Controlled Traffic Farming; semi-autonomous driving; navigation

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 11. 2. 2022 15:43, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

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).

Návaznosti

818346, interní kód MU

Název: Si-EU-Soil (Akronym: SIEUSIOL)

Investor: Evropská unie, Si-EU-Soil, Food security, sustainable agriculture and forestry, marine and maritime and inland water research (Societal Challenges)

Citovat

ŘEZNÍK, Tomáš; Martina KLOCOVÁ; Filip LEITNER; Tomáš PAVELKA; Lukáš HERMAN; Jakub HRÁDEK; Šimon LEITGEB; Kateřina TROJANOVÁ a 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, s. 1-8. ISBN 978-80-248-4505-0. Dostupné z: 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 a 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, s.~1-8. ISBN~978-80-248-4505-0. Dostupné z: https://doi.org/10.31490/9788024845050-13.

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