The 'Eyes on the Ground' project (lacunafund.org) is a collaboration between ACRE Africa, the International Food Policy Research Institute (IFPRI), and the Lacuna Fund, to create a large machine learning (ML) dataset of smallholder farmer's fields based upon previous work within the Picture Based Insurance framework (Ceballos, Kramer and Robles, 2019, https://doi.org/10.1016/j.deveng.2019.100042). This is a unique dataset of georeferenced crop images along with labels on input use, crop management, phenology, crop damage, and yields, collected across 8 counties in Kenya.The research leading to this dataset was undertaken as part of the CGIAR research program on Policies, Institutions and Markets (PIM)
Dataset ID | lacuna_fund_eotg_v1 |
DOI | 10.34911/rdnt.1bs2jw |
Creator | Lacuna Fund, ACRE Africa, KALRO, IFPRI, CGIAR PIM, BlueGreen labs, Dvara E-Registry |
Contact | lwaithaka@acreafrica.com |
Waithaka, L., Kramer, B., Hufkens, K., Kivuva, B., & Mansabdar, S. (2022) Eyes on the Ground Image Data, Version 1.0, (Version 1.0) Radiant MLHub. [Date Accessed] https://doi.org/10.34911/rdnt.1bs2jw
from radiant_mlhub import Dataset ds = Dataset.fetch('lacuna_fund_eotg_v1') for c in ds.collections: print(c.id)
Description | Eyes on the Ground Perspective Source Data |
License | CC-BY-SA-4.0 |
Collection ID | lacuna_fund_eotg_v1_source_perspective |
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Description | Eyes on the Ground Sentinel Source Data |
License | CC-BY-SA-4.0 |
Collection ID | lacuna_fund_eotg_v1_source_sentinel |
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Description | Eyes on the Ground Era5 Source Data |
License | CC-BY-SA-4.0 |
Collection ID | lacuna_fund_eotg_v1_source_era5 |
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Description | Eyes on the Ground Arc Source Data |
License | CC-BY-SA-4.0 |
Collection ID | lacuna_fund_eotg_v1_source_arc |
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Description | Eyes on the Ground Tamsat Source Data |
License | CC-BY-SA-4.0 |
Collection ID | lacuna_fund_eotg_v1_source_tamsat |
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Description | Eyes on the Ground Label Data |
License | CC-BY-SA-4.0 |
Collection ID | lacuna_fund_eotg_v1_labels |
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