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HarvestNet Dataset

Domaine:

geospatial

Type de record:

dataset
Detect smallholder farm presence in data-scarce, conflict-affected, or remote regions - Improve accuracy of cropland mapping beyond traditional land cover products (e.g., ESA CCI, MODIS) - Enable timely food security assessments and early warning systems - Support humanitarian aid targeting and agricultural policy design Notes / challenges: Geographically limited to two Ethiopian regions (Tigray & Amhara) - No temporal series — snapshot from 2020–2023, not annual - No crop-type classification — only binary farm/non-farm - Low-resolution imagery (PlanetScope) may miss very small or obscured fields - Requires geospatial and ML expertise to process and interpret

Visit

figshare.com

Tasks

computer visionimage classification

Languages

AmharicKunamaTigrigna

Tags

open-data-africaopen-data-africa catalog

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Small farms contribute to a large share of the productive land in developing countries. In regions s

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Small farms contribute to a large share of the productive land in developing countries. In regions s