Autonomous Navigation and Crop Row Detection in Vineyards Using Machine Vision with 2D Camera
In order to improve agriculture productivity, autonomous navigation algorithms are being developed so that robots can navigate along agricultural environments to automatize tasks that are currently performed by hand. This work uses machine vision techniques such as the Otsu’s method, blob detection,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Automation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4052/4/4/18 |
| _version_ | 1797382044293005312 |
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| author | Enrico Mendez Javier Piña Camacho Jesús Arturo Escobedo Cabello Alfonso Gómez-Espinosa |
| author_facet | Enrico Mendez Javier Piña Camacho Jesús Arturo Escobedo Cabello Alfonso Gómez-Espinosa |
| author_sort | Enrico Mendez |
| collection | DOAJ |
| description | In order to improve agriculture productivity, autonomous navigation algorithms are being developed so that robots can navigate along agricultural environments to automatize tasks that are currently performed by hand. This work uses machine vision techniques such as the Otsu’s method, blob detection, and pixel counting to detect the center of the row. Additionally, a commutable control is implemented to autonomously navigate a vineyard. Experimental trials were conducted in an actual vineyard to validate the algorithm. In these trials show that the algorithm can successfully guide the robot through the row without any collisions. This algorithm offers a computationally efficient solution for vineyard row navigation, employing a 2D camera and the Otsu’s thresholding technique to ensure collision-free operation. |
| first_indexed | 2024-03-08T21:00:41Z |
| format | Article |
| id | doaj.art-7f80aad159e74ace9be7204ea0dbbe11 |
| institution | Directory Open Access Journal |
| issn | 2673-4052 |
| language | English |
| last_indexed | 2024-03-08T21:00:41Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Automation |
| spelling | doaj.art-7f80aad159e74ace9be7204ea0dbbe112023-12-22T13:53:07ZengMDPI AGAutomation2673-40522023-09-014430932610.3390/automation4040018Autonomous Navigation and Crop Row Detection in Vineyards Using Machine Vision with 2D CameraEnrico Mendez0Javier Piña Camacho1Jesús Arturo Escobedo Cabello2Alfonso Gómez-Espinosa3Escuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Av. Epigmenio González 500, Fracc. San Pablo, Queretaro 76130, MexicoEscuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Av. Epigmenio González 500, Fracc. San Pablo, Queretaro 76130, MexicoEscuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Av. Epigmenio González 500, Fracc. San Pablo, Queretaro 76130, MexicoEscuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Av. Epigmenio González 500, Fracc. San Pablo, Queretaro 76130, MexicoIn order to improve agriculture productivity, autonomous navigation algorithms are being developed so that robots can navigate along agricultural environments to automatize tasks that are currently performed by hand. This work uses machine vision techniques such as the Otsu’s method, blob detection, and pixel counting to detect the center of the row. Additionally, a commutable control is implemented to autonomously navigate a vineyard. Experimental trials were conducted in an actual vineyard to validate the algorithm. In these trials show that the algorithm can successfully guide the robot through the row without any collisions. This algorithm offers a computationally efficient solution for vineyard row navigation, employing a 2D camera and the Otsu’s thresholding technique to ensure collision-free operation.https://www.mdpi.com/2673-4052/4/4/18vineyard navigationautonomous navigationmachine vision |
| spellingShingle | Enrico Mendez Javier Piña Camacho Jesús Arturo Escobedo Cabello Alfonso Gómez-Espinosa Autonomous Navigation and Crop Row Detection in Vineyards Using Machine Vision with 2D Camera Automation vineyard navigation autonomous navigation machine vision |
| title | Autonomous Navigation and Crop Row Detection in Vineyards Using Machine Vision with 2D Camera |
| title_full | Autonomous Navigation and Crop Row Detection in Vineyards Using Machine Vision with 2D Camera |
| title_fullStr | Autonomous Navigation and Crop Row Detection in Vineyards Using Machine Vision with 2D Camera |
| title_full_unstemmed | Autonomous Navigation and Crop Row Detection in Vineyards Using Machine Vision with 2D Camera |
| title_short | Autonomous Navigation and Crop Row Detection in Vineyards Using Machine Vision with 2D Camera |
| title_sort | autonomous navigation and crop row detection in vineyards using machine vision with 2d camera |
| topic | vineyard navigation autonomous navigation machine vision |
| url | https://www.mdpi.com/2673-4052/4/4/18 |
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