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	Provedor de dados Agronomy (2) Autor Acevedo, Marianne Lorena Romero (2) Guevara, Adriana Riveros (2) Solaque Guzmán, Leonardo Enrique (2) Palavra-chave Mobile robotics (2) Precision agriculture (2) Trajectory planning. (2) Weed recognition (2) Weed removal (2) Tipo do documento Info:eu-repo/semantics/article (2) Ano 2019 (2) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Weed-removal system based on artificial vision and movement planning by A* and RRT techniques Agronomy Solaque Guzmán, Leonardo Enrique; Acevedo, Marianne Lorena Romero; Guevara, Adriana Riveros. 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... Tipo: Info:eu-repo/semantics/article Palavras-chave: Mobile robotics; Precision agriculture; Weed recognition; Weed removal; Trajectory planning.. Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42687 Weed-removal system based on artificial vision and movement planning by A* and RRT techniques Agronomy Solaque Guzmán, Leonardo Enrique; Acevedo, Marianne Lorena Romero; Guevara, Adriana Riveros. 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... Tipo: Info:eu-repo/semantics/article Palavras-chave: Mobile robotics; Precision agriculture; Weed recognition; Weed removal; Trajectory planning.. Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/42687 Registros recuperados: 2 Primeira ... 1 ... Última

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