Data/hora: 12/06/2024 09:18:17

Provedor de dados: 	1	
País: 	Brazil	
Título: 	Weed-removal system based on artificial vision and movement planning by A* and RRT techniques	
Autores: 	Solaque Guzmán, Leonardo Enrique; Acevedo, Marianne Lorena Romero; Guevara, Adriana Riveros.	
Data: 	2019-05-24	
Ano: 	2019	
Palavras-chave: 	Mobile robotics; Precision agriculture; Weed recognition; Weed removal; Trajectory planning.	
Resumo: 	The recent exploration of autonomous robotics tasks in agro-industry has permitted the integration of theories of artificial vision and mobile robotics with tasks in precision agriculture. Artificial vision allows for the classification of weeds and crops from images of plantations. With 3D-image processing systems, the location of the weeds is determined, and then the movement of the tool responsible for eradication is proposed. This article presents the solution for finding weeds within a crop field using classifiers and the integration of a 3D-vision system that builds a point cloud featuring the plants to safeguard, the weeds and the free space using Zed technology. With this information, search techniques such as A* (A star) and RRT (Rapidly exploring Random Tree) are used to determine the trajectory that the weed-removal tool must follow. The last feature is an integral part of an XYZ-positioning system, and this is part of a mobile robot dedicated to precision agriculture tasks. 	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42687

10.4025/actasciagron.v41i1.42687	
Editor: 	Universidade Estadual de Maringá	
Relação: 	http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42687/pdf

http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42687/751375147200	
Formato: 	application/pdf

application/pdf	
Fonte: 	Acta Scientiarum. Agronomy; Vol 41 (2019): Publicação Contínua; e42687

Acta Scientiarum. Agronomy; v. 41 (2019): Publicação Contínua; e42687

1807-8621

1679-9275	
Fonte: 	Copyright (c) 2019 Acta Scientiarum. Agronomy

https://creativecommons.org/licenses/by/4.0