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@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 = {http://dx.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 - JOUR
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://dx.doi.org/10.31490/9788024845050-13.
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