AI could bring satellite crop monitoring to the world's most vulnerable farms

Most satellite AI for agriculture was quietly built for and tested on huge, rectangular American and European fields, which meant it was nearly useless for the small, messy plots that actually feed much of the world. Tessera's low computing cost compared to existing methods matters as much as its accuracy, because cheap models are the ones poorer agencies can actually afford to run. This is the unglamorous kind of AI story that could genuinely change food security forecasting long before flashier model launches do.