GROUNDBASED_WEED: Ground-Based Imagery for Early Weed Classification in Tomato Crops
[Description of methods used for collection/generation of data] A handheld Canon PowerShot SX540 HS camera was utilized, offering a spatial resolution of 5184 × 3888 pixels. To ensure optimal image quality under dynamic and variable lighting conditions, the camera operated with an automated ISO sens...
| Autores: | , , |
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| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/396144 |
| Acceso en línea: | http://hdl.handle.net/10261/396144 https://doi.org/10.20350/digitalCSIC/17475 |
| Access Level: | acceso abierto |
| Palabra clave: | Summer row crops Ground-based imagery Weeds identification Deep learning Neural networks Object detection image |
| Sumario: | [Description of methods used for collection/generation of data] A handheld Canon PowerShot SX540 HS camera was utilized, offering a spatial resolution of 5184 × 3888 pixels. To ensure optimal image quality under dynamic and variable lighting conditions, the camera operated with an automated ISO sensitivity setting and a shutter speed of 1/1000 second. A zenithal (overhead) image was captured from an elevation ranging between 1 and 1.5 meters. |
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