Responsible use of artificial intelligence and machine learning for food security early warning systems
Breaking boundaries, connecting knowledge: Using the data we have to build the agricultural future we want
Transforming extensive cattle ranching in Colombia through Urochloa humidicola (CIAT 679): Productivity, soil restoration, and climate benefits
Digital advisory reaches 121,000+ farmers as harmonized fertilizer and agronomic solutions are mainstreamed in Ethiopia
Climate-smart agribusinesses in Eastern Africa are investment-ready with the support of AI-enabled risk assessment tools
From tool to teammate: a conjoined agency perspective on cross-cultural acceptability of AI as a co-worker
Where does authority reside in AI-enabled agricultural advisory systems? CGIAR’s partnership architecture as the knowledge layer for AI-enabled agricultural advice
Genome-wide association study of post-harvest physiological deterioration in cassava (Manihot esculenta Crantz) using visual and AI-powered phenotyping
Artemis: AI-enabled smartphone phenotyping for faster, accurate data collection in climate-resilient breeding
Version 0.2.0 – TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models
Análisis cualitativo con asistencia de inteligencia artificial: oportunidades, límites y responsabilidades
