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Naslov:Advanced navigation and artificial intelligence techniques: Team carbonite's winning strategies at the Field Robot Event 2023
Avtorji:ID Mannchen, Samuel (Avtor)
ID Mayer, Jonas (Avtor)
ID Schönegg, Janis Lion (Avtor)
ID Fauser, Klara (Avtor)
Datoteke:URL https://journals.um.si/index.php/agricultura/article/view/5704
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FKBV - Fakulteta za kmetijstvo in biosistemske vede
Opis:An approach to address current challenges in agriculture caused by climate change, the increasing global population and the loss of biodiversity is precision farming, for which agricultural robotics is a key enabler. The Field Robot Event (FRE) 2023 has challenged student teams to develop and improve autonomous agricultural robots. This paper presents the improvements to our field robot “Carbonite,” which is developed at the Schülerforschungszentrum (SFZ) Südwürttemberg. Our lightweight and compact robot design, supported by our advanced and efficient navigation algorithm, enabled our robot to quickly move through fields. Additionally, we introduced our newly developed system for targeted and precise application of water, fertilizer and herbicides, based on an intelligent gap detection algorithm to avoid wasting resources. Also, we trained an object recognition AI model based on the You Only Look Once (YOLO) models, allowing the robot to appropriately respond based on the type of obstacle. Carbonite managed to secure the first place in both the navigation task and the plant treatment task, benefiting from the lightweight design and the resulting high robot driving speed, enabling us to win the overall FRE 2023 contest.
Ključne besede:agricultural robotics, precision agriculture, sustainability, artificial intelligence
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Datum objave:01.12.2025
Leto izida:2025
Št. strani:str. 11-19
Številčenje:Vol. 22, No. 1-2
PID:20.500.12556/DKUM-97427 Novo okno
UDK:631.3:004.9
COBISS.SI-ID:269879555 Novo okno
DOI:10.18690/agricsci.22.1-2.2 Novo okno
ISSN pri članku:2820-610X
Datum objave v DKUM:05.03.2026
Število ogledov:142
Število prenosov:0
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Gradivo je del revije

Naslov:Agricultura scientia
Založnik:University of Maribor, University Press
ISSN:2820-610X
COBISS.SI-ID:149840131 Novo okno

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

Jezik:Slovenski jezik
Naslov:Napredne navigacijske tehnike in postopki umetne inteligence: Ključne strategije ekipe Carbonite na tekmovanju Field Robot Event 2023
Ključne besede:kmetijska robotika, precizno kmetijstvo, trajnost, umetna inteligenca


Zbirka

To gradivo je del naslednjih zbirk del:
  1. Agricultura scientia

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