2021
Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm
ŘEZNÍK, Tomáš; Lukáš HERMAN; Martina KLOCOVÁ; Filip LEITNER; Tomáš PAVELKA et al.Základní údaje
Originální název
Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm
Autoři
ŘEZNÍK, Tomáš; Lukáš HERMAN; Martina KLOCOVÁ ORCID; Filip LEITNER; Tomáš PAVELKA ORCID; Šimon LEITGEB; Kateřina TROJANOVÁ; Radim ŠTAMPACH; Dimitrios MOSHOU; Abdul M. MOUAZEN; Thomas K. ALEXANDRIDIS; Jakub HRÁDEK; Vojtěch LUKAS a Petr ŠIRŮČEK
Vydání
Sensors, Basel, MDPI, 2021, 1424-8220
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10508 Physical geography
Stát vydavatele
Švýcarsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 3.847
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14310/21:00121655
Organizační jednotka
Přírodovědecká fakulta
UT WoS
EID Scopus
Klíčová slova anglicky
controlled traffic farming; coverage path planning; digital elevation model; mission planning; soil compaction
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 27. 5. 2021 12:08, Mgr. Marie Novosadová Šípková, DiS.
Anotace
V originále
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.
Návaznosti
| MUNI/A/1570/2020, interní kód MU |
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| 818346, interní kód MU |
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