Weed species classification with UAV imagery and standard CNN models: Assessing the frontiers of training and inference phases
12 Pág.-- © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/357752 |
| Acceso en línea: | http://hdl.handle.net/10261/357752 https://api.elsevier.com/content/abstract/scopus_id/85192834477 |
| Access Level: | acceso abierto |
| Palabra clave: | Deep learning Faster R–CNN Inception-ResNet-v2 ResNet152 Site-specific weed management (SSWM) |
| Sumario: | 12 Pág.-- © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
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