As part of the AI4AGRI project, a new dataset is now available that combines Sentinel-1 SAR and Sentinel-2 multispectral imagery to support research in crop identification using machine learning and remote sensing. Covering the years 2020 to 2024 over an agricultural area north of Brașov, Romania, this dataset is structured to address two key tasks: […]
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:
📅 May 2024
🧑 M. El Sakka, J. Mothe, M. Ivanovici
#deep learning #multispectral images #vegetation index #agricultural datasets #smart farming #smart agriculture
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https://ai4agri.unitbv.ro/wp-content/uploads/2023/03/low_mid_high_cmplx_MSI.zip
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