Artificial intelligence

NDIZI

Análisis cualitativo con asistencia de inteligencia artificial: oportunidades, límites y responsabilidades

Digital technologies for sustainable agriculture and food systems

PROBES snapshot: Ask the Data (ATD), accelerating reproducible research with AI

PROBES snapshot: On-phone 3D plant mapping

PROBES snapshot: Vision2Biomass, quantifying crop residue retention

PROBES snapshot: River gauge reading extraction using object detection and generative AI

PROBES snapshot: Enhanced Pest Acoustic Detection Device for Rice (EPADDY)

PROBES snapshot: Longa, automated speech recognition for Bantu languages

PROBES snapshot: Crowdsourcing agronomy data with AI-integrated Interactive Voice Response (IVR)

PROBES snapshot: An agricultural knowledge assistant using large language models

PROBES snapshot: MarketVision, computer vision for market monitoring

PROBES snapshot: Low-cost portable soil fertility sensors – myth or reality?

Conectando ciencia, innovación y mercado para transformar sistemas agroalimentarios

ERA evidence synthesis & meta-analysis automation (ERAgriculture/AI-Powered-Meta-Analysis-Automation R-code GitHub)

AI-Powered Meta-Analysis Automation

From principles to practice: Why ethical AI starts with data

PROBES: Early-stage explorations of digital potential across CGIAR

Transforming AgWise: An inclusive, sustainable, and trustworthy AI-powered agronomic advisory platform in Africa

Explainable machine learning driven nutrient recommendation for maize production in Malawi

NDIZI: Applying ethical AI to LLMs

Parcela digital: Innovación en acción para una agricultura sostenible

Silvia Araujo de Lima

Senior Research Associate

Gender differences in perception of artificial intelligence-based tools

Galileo pretrained remote sensing model – Rwanda crop type classification

Sample Earth: Machine-Learning–Ready Land-Cover Reference Dataset

Video based deep learning deciphers honeybee waggle dances in natural conditions

From data to decision: Institutionalizing smart fertilizer recommendations through HaFAS in Ethiopia

Contesting Climate Futures: mapping misinformation narratives and networks on Telegram

Ground reference dataset for crop type mapping and monitoring in four districts of Rwanda