| ŘEZNÍK, Tomáš, Lukáš HERMAN, Martina KLOCOVÁ, Filip LEITNER, Tomáš PAVELKA, Šimon LEITGEB, Kateřina TROJANOVÁ, Radim ŠTAMPACH, Dimitrios MOSHOU, Abdul M. MOUAZEN, Thomas K. ALEXANDRIDIS, Jakub HRÁDEK, Vojtěch LUKAS a Petr ŠIRŮČEK. Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm. Sensors. Basel: MDPI, 2021, roč. 21, č. 9, s. "2980", 21 s. ISSN 1424-8220. Dostupné z: https://dx.doi.org/10.3390/s21092980. |
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@article{1771797,
author = {Řezník, Tomáš and Herman, Lukáš and Klocová, Martina and Leitner, Filip and Pavelka, Tomáš and Leitgeb, Šimon and Trojanová, Kateřina and Štampach, Radim and Moshou, Dimitrios and Mouazen, Abdul M. and Alexandridis, Thomas K. and Hrádek, Jakub and Lukas, Vojtěch and Širůček, Petr},
article_location = {Basel},
article_number = {9},
doi = {http://dx.doi.org/10.3390/s21092980},
keywords = {controlled traffic farming; coverage path planning; digital elevation model; mission planning; soil compaction},
language = {eng},
issn = {1424-8220},
journal = {Sensors},
title = {Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm},
url = {https://www.mdpi.com/1424-8220/21/9/2980},
volume = {21},
year = {2021}
}
TY - JOUR
ID - 1771797
AU - Řezník, Tomáš - Herman, Lukáš - Klocová, Martina - Leitner, Filip - Pavelka, Tomáš - Leitgeb, Šimon - Trojanová, Kateřina - Štampach, Radim - Moshou, Dimitrios - Mouazen, Abdul M. - Alexandridis, Thomas K. - Hrádek, Jakub - Lukas, Vojtěch - Širůček, Petr
PY - 2021
TI - Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm
JF - Sensors
VL - 21
IS - 9
SP - "2980"
EP - "2980"
PB - MDPI
SN - 14248220
KW - controlled traffic farming
KW - coverage path planning
KW - digital elevation model
KW - mission planning
KW - soil compaction
UR - https://www.mdpi.com/1424-8220/21/9/2980
N2 - Efforts related to minimizing the environmental burden caused by agricultural activities and increasing economic efficiency are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using the on-line optimization of trajectory planning for soil-sensitive field operations. The research presented in this paper aims at a proof-of-concept solution with respect to optimizing farm machinery trajectories in order to minimize the environmental burden and increase economic efficiency. As such, it further advances existing CTF solutions by including (1) efficient plot divisions in 3D, (2) the optimization of entry and exit points of both plot and plot segments, (3) the employment of more machines in parallel and (4) obstacles in a farm machinery trajectory. The developed algorithm is expressed in terms of unified modeling language (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 (Rostenice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories.
ER -
ŘEZNÍK, Tomáš, Lukáš HERMAN, Martina KLOCOVÁ, Filip LEITNER, Tomáš PAVELKA, Šimon LEITGEB, Kateřina TROJANOVÁ, Radim ŠTAMPACH, Dimitrios MOSHOU, Abdul M. MOUAZEN, Thomas K. ALEXANDRIDIS, Jakub HRÁDEK, Vojtěch LUKAS a Petr ŠIRŮČEK. Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm. \textit{Sensors}. Basel: MDPI, 2021, roč.~21, č.~9, s.~''2980'', 21 s. ISSN~1424-8220. Dostupné z: https://dx.doi.org/10.3390/s21092980.
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