Ecuador's State Agricultural Policy embeds Alliance-co-produced soil fertility maps as a foundation for 2025–2034 national planning and climate risk management
From scattered agronomic data to smarter fertilizer management decisions: A new chapter for maize productivity in Kenya
From rainfall to rice-field inundation: an event-based machine learning framework for flood early warning in data-sparse river basins
Digital map of soil organic carbon stocks (t/ha) at 0-30 cm in the Casanare flooded savannas of the Colombian Llanos (2019)
Machine learning fusion of lidar and optical data for high-precision rice canopy height estimation: A multi-method comparison
Wheat farmers in Ethiopia achieve up to 38% higher yields with machine-learning-based fertilizer recommendations
Inclusive agricultural insurance for sustainable wheat intensification as a pathway to smallholder resilience in Ethiopia
Fairgrounds in action: How the CGIAR forages research team is simplifying machine learning operations
Recent development and innovative tools for climate and hydrological data collection and analysis in the Abbay Basin
Technical report: Next-Generation decision support tool for data-driven fertilizer recommendations to enhance maize performance in Ethiopia
Integrating crop models and machine learning for projecting climate change impacts on crops in data-limited environments
NIRCoreVision: A novel deep learning-based framework with GUI integration for core set selection from NIRS data using 1D CNN and k-means clustering
Uso de machine learning y un sensor de reflectancia del dosel proximal para predecir biomasa y calidad nutricional en forrajes tropicales (Urochloa humidicola)
The Nutrition-Sensitive Food Environment Index: A comprehensive approach to assessing food environments in association with health risks for policy decision making
Updating high-resolution image dataset for the automatic classification of phenological stage and identification of racemes in Urochloa spp. hybrids with expanded images and annotations
Transforming Ethiopian agriculture: Validating and scaling site-specific fertilizer recommendations to 72,000+ farmers via digital advisory.
Seasonal maize yield forecasting in South and East African countries using hybrid earth observation models
