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Researchers from the Alliance’s Artemis project developed mobile AI tools and farmer feedback systems in Tanzania and Colombia to transform how crop breeding responds to real-world smallholder needs.

Across the Global South, crop breeding programs face a recurring challenge: the gap between improved varieties developed in research stations and the realities of smallholder farms. This mismatch is a byproduct of breeding systems that have historically been centralized, top-down, and data-poor, thus limiting their ability to reflect local growing conditions or farmer preferences.

But researchers are working to change that. Artificial intelligence (AI), when connected with participatory, human-centered design methods, has opened the field to exciting new opportunities. A set of mobile phenotyping tools, developed by the Alliance of Bioversity and CIAT’s Artemis project has harnessed AI to develop an inclusive, technology-enabled breeding system that generates more accurate data, amplifies farmer voices, and strengthens seed systems where they’re most needed.

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