| _version_ | 1866902279751204864 |
|---|---|
| author | Ortiz-Gonzalo, Daniel |
| author_facet | Ortiz-Gonzalo, Daniel |
| contents | <p>A state-of-the-art deep learning framework for detecting agroforestry regions in satellite imagery using dual-branch convolutional neural networks (CNN) with BigEarthNet pretrained features and forest loss data.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16420669 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Deep learning framework for detecting agroforestry regions in satellite imagery Ortiz-Gonzalo, Daniel <p>A state-of-the-art deep learning framework for detecting agroforestry regions in satellite imagery using dual-branch convolutional neural networks (CNN) with BigEarthNet pretrained features and forest loss data.</p> |
| title | Deep learning framework for detecting agroforestry regions in satellite imagery |
| url | https://doi.org/10.5281/zenodo.16420669 |