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ZENODO
Dataset . 2024
Data sources: ZENODO
ZENODO
Dataset . 2024
Data sources: Datacite
ZENODO
Dataset . 2024
Data sources: Datacite
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A region-wide, multi-year set of crop field boundary labels for Africa

Authors: Wussah, Amos; Asipunu, Mary; Gathigi, Michelle; Kovačič, Primož; Muhando, Justus; Yeboah, Victor; Addai, Foster; +21 Authors

A region-wide, multi-year set of crop field boundary labels for Africa

Abstract

Data resulting from a project undertaken to generate a comprehensive set of crop field boundary labels throughout the continent of Africa, representing the years 2017-2023. The project was funded by the Lacuna Fund, and led by Farmerline, in collaboration with Spatial Collective and the Agricultural Impacts Research Group at Clark University. Please refer to the technical report in the accompanying repository for more details on the methods used to develop the dataset, an analysis of label quality, and usage guidelines.

Related Organizations
Keywords

Land cover, Labels, Machine learning, Africa, Agriculture, Remote sensing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average