Generative AI for Agriculture GAIAPhase II First Year Report April to November 2025
In the GAIA-Phase II project, the University of Florida (UF) team main focus is using dynamic crop simulation models for enhancing the advisory...
CGIAR works with partners in six major regions to jointly address challenges to food, land, and water systems.
More information about CGIARIn the GAIA-Phase II project, the University of Florida (UF) team main focus is using dynamic crop simulation models for enhancing the advisory...
This document is a briefing note of "Lost in translation: when interfaces dont speak to users". The goal of the briefing is to provide a...
This report summarises the first year of the community of practice on human entered design, from inception survey to first activities and end of the...
AgWise is a tool to empower farmers, agricultural advisory providers and poliycmakers in the Global South with AI powered agronomy and soily advisory...
The report shows the result of an exploratory research on current documentation practices on user research and HCD activities by HCD practitioners....
The Digital Transformation Accelerator’s mission depends on people-centered digital transformation. Enabling responsible AI and digital...
Agricultural decision making in Ethiopia is highly influenced by climate variability, however the effective use of agricultural data remains limited...
Ethiopia’s extension and agricultural advisory landscape is undergoing a major modernization, shifting from generalized, “blanket” fertilizer...