Pilot design
Co-design with farmers, schools, extension workers and agricultural institutions before broader deployment.
Impact
Evidence before expansion.
AgriLearn AI will scale through measurable pilots, transparent reporting and community-led evaluation.
5pilot experience areas
3initial interface languages
15structured launch crops
100%prototype outputs labeled
Learning outcomes
Measure knowledge improvement, user confidence, task completion and appropriate expert escalation.
Inclusion
Track language access, gender participation, youth engagement, device constraints and rural connectivity.
Research
Document usability, model limitations, regional validity and responsible AI safeguards.
SDG alignment
Support food security, quality education, innovation, climate action and partnerships.
Roadmap
Prototype, expert review, controlled pilot, evaluation, iteration and evidence-led scale.