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Pregledni rad

https://doi.org/10.31803/tg-20230517113905

Automatically Guided Vehicles (AGV) in Agriculture

Domagoj Zimmer ; Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia *
Luka Šumanovac orcid id orcid.org/0000-0002-8241-2951 ; Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia
Mladen Jurišić orcid id orcid.org/0000-0002-8105-6983 ; Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia
Arian Čosić ; Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia
Pavo Lucić orcid id orcid.org/0000-0001-5427-4603 ; Faculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia

* Dopisni autor.


Puni tekst: engleski pdf 2.585 Kb

str. 666-672

preuzimanja: 45

citiraj


Sažetak

In this paper, new types of autonomous systems used in agriculture were analysed. The paper shows new self-guiding systems such as AGVs with full autonomy in degrees operation. It explains internal transport and systems of autonomous vehicles in outdoor agriculture. New autonomous systems used outside such as appliance of special navigation systems and their purpose in agriculture are present in this work. Navigation systems with GPS signal and RTK technology, vehicle guidance camera and AI machine vision for manipulation are described. Light and laser technologies for fully autonomous robotic technologies such as LiDAR system in vehicle for detection of the presence of pests and diseases are presented in this paper. The paper emphasized advantages of using AGVs as result of their autonomy, clean power sources without harmful impact on the environment. Navigation in indoor spaces that uses LTE Direct protocol is explained, whereby the Wi-Fi ceiling antenna and wireless APP for horizontal movement of AGVs is shown. The ways of using UAVs for warehouse inventory through web applications with an advanced navigation system guided by AI are given in this work.

Ključne riječi

AI detection; automatic guided vehicles; GPS; sensors

Hrčak ID:

321409

URI

https://hrcak.srce.hr/321409

Datum izdavanja:

5.12.2024.

Posjeta: 135 *