Funders and implementers are asking a sharper question: what does impact look like for AI tools that reach smallholder farmers? This session looks at which indicators matter, how to track them in the field, and how the “learning” in MEL turns findings into better tools rather than reports that sit on a shelf. It also covers why rigorous MEL has become essential for funding, scaling and earning trust in agricultural AI.
Speakers to be announced shortly. Save the date.