The data set contains all the available images from Sentinel-1 SAR and Sentinel-2 MSI from 2020 to 2024 over a specific area to the north of Brasov city, Romania, together with the 32 x 32 pixel size radar and multi-spectral patches for a crop identification task using a learning model. For the crop identification task, […]
As part of the AI4AGRI project, a new dataset is now available for researchers focusing on crop identification using remote sensing and machine learning techniques. The dataset consists of Sentinel-2 MSI images acquired between 2020 and 2024 over an area north of Brașov, Romania. It is designed to support two specific tasks: The dataset includes:
https://ai4agri.unitbv.ro/wp-content/uploads/2024/07/AI4AGRI_soil_roughness_dataset_2024.zip
Soil roughness estimation data set Read More »
https://ai4agri.unitbv.ro/wp-content/uploads/2023/03/low_mid_high_cmplx_MSI.zip
Multi-spectral fractal images Read More »
