AI4AGRI Soil roughness estimation dataset

The dataset contains two sets of images, representing digital images of soil samples used for training ML models to estimate the soil roughness. For more details on the experiments please refer to (and cite): Ivanovici, M., Popa, S., Marandskiy, K., & Florea, C. (2024). Deep automatic soil roughness estimation from digital images. European Journal of Remote Sensing. DOI: https://doi.org/10.1080/22797254.2024.2342955 The zip archives containts a readme text file with the detailed description of the dataset. Funded by the European Union. The AI4AGRI project entitled “Romanian Excellence Center on Artificial Intelligence on Earth Observation Data for Agriculture” received funding from the European Union’s Horizon Europe research and innovation programme under the grant agreement no. 101079136. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.