Artemis: AI-enabled smartphone phenotyping for faster, accurate data collection in climate-resilient breeding
Citation
Woltering, L.; Cheyo, E.J. (2026) Artemis: AI-enabled smartphone phenotyping for faster, accurate data collection in climate-resilient breeding. Study AFR-2581. Rome (Italy): Bioversity International; Cali (Colombia): International Center for Tropical Agriculture (CIAT). 3 p.
Abstract/Description
Between 2022 and 2026, the Artemis initiative, led by the Alliance of Bioversity International and CIAT with Mineral, and support from the Bill & Melinda Gates Foundation, piloted AI-enabled phenotyping tools in Sub-Saharan Africa. Using smartphone-based image capture (Ona) and farmer feedback systems (Sikia), the project significantly improved data accuracy and efficiency. Trials in Tanzania and Uganda show over 50% reduction in phenotyping time, doubling of throughput (>1,000 plots/day), and high accuracy (±10%, r² > 0.8), with potential cost savings and faster breeding cycles.
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Esther Joseph cheyo https://orcid.org/0009-0000-6955-371X
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