Weed-removal system based on artificial vision and movement planning by A* and RRT techniques
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| Format: | Artículo científico |
| Language: | en |
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Universidade Estadual de Maringá
2019
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| _version_ | 1876435738012155904 |
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| author | Leonardo Enrique Solaque Guzmán |
| author_facet | Leonardo Enrique Solaque Guzmán |
| contents | Weed-removal system based on artificial vision and movement planning by A* and RRT techniques Leonardo Enrique Solaque Guzmán Marianne Lorena Romero Acevedo Adriana Riveros Guevara Agrociencias weed removal Mobile robotics weed recognition trajectory planning precision agriculture 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. 2019 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303060470010 https://www.redalyc.org/journal/3030/303060470010/ https://www.redalyc.org/journal/3030/303060470010/html/ https://www.redalyc.org/journal/3030/303060470010/303060470010.epub https://www.redalyc.org/journal/3030/303060470010/movil 10.4025/actasciagron.v41i1.42687 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Vol.41 |
| format | Artículo científico |
| id | redalyc_303060470010 |
| institution | Redalyc |
| language | en |
| publishDate | 2019 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | Weed-removal system based on artificial vision and movement planning by A* and RRT techniques Leonardo Enrique Solaque Guzmán Agrociencias weed removal Mobile robotics weed recognition trajectory planning precision agriculture Weed-removal system based on artificial vision and movement planning by A* and RRT techniques Leonardo Enrique Solaque Guzmán Marianne Lorena Romero Acevedo Adriana Riveros Guevara Agrociencias weed removal Mobile robotics weed recognition trajectory planning precision agriculture 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. 2019 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303060470010 https://www.redalyc.org/journal/3030/303060470010/ https://www.redalyc.org/journal/3030/303060470010/html/ https://www.redalyc.org/journal/3030/303060470010/303060470010.epub https://www.redalyc.org/journal/3030/303060470010/movil 10.4025/actasciagron.v41i1.42687 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Vol.41 |
| title | Weed-removal system based on artificial vision and movement planning by A* and RRT techniques |
| topic | Agrociencias weed removal Mobile robotics weed recognition trajectory planning precision agriculture |
| url | https://www.redalyc.org/articulo.oa?id=303060470010 https://www.redalyc.org/journal/3030/303060470010/ https://www.redalyc.org/journal/3030/303060470010/html/ https://www.redalyc.org/journal/3030/303060470010/303060470010.epub https://www.redalyc.org/journal/3030/303060470010/movil |