Innovation Showcase & Science Talk: Innovative Digital Solutions and Partnerships for Advancing Agri-Food Systems Research

  • Date
  • Time
    04:00 pm > 08:00 pm UTC+03:00
  • Location
    United Nations, Conference Room 9, Nairobi, Kenya

Thematic Areas: Better Crops, Capacity Sharing,  Digital & Data

This session will present the latest digital innovations developed by CGIAR to support crop breeding, partnerships in the digital ecosystem, climate-smart agriculture, data science, data capture, and earth observation data analytics.

Session 1 (16:00-16:50): Data Lake and Breeding Analytics Pipeline

  • Data Lake for Research (Andre Moretto, CIMMYT): The Breeding and Research Services (BRS) Digital Solutions Lead will introduce the BRS Data Lake, a tool designed to store raw historical crop breeding data for breeders. The Data Lake is a comprehensive end-to-end data analytics framework for multi-dimensional research data, spanning from pre-breeding to breeding, seed systems, varietal adoption, and monitoring. Developed by BRS to support crop breeders worldwide, the Data Lake will be soon available to CGIAR Centers and partners’ crop breeders and researchers.
  • Improved Data Analytics for Breeding (Giovanny Pazaran, IRRI): Participants will learn about the BRS Breeding Analytics Pipeline, a powerful tool designed to conduct complex analyses on crop breeding data. They will explore advanced breeding trial designs and analyses and learn about the incorporation of genomic data (e.g., marker information) in the genetic evaluation.

Session 2 (16:50-17:40): Digital and Data Ecosystems and Partnerships 

  • Cultivating Collaborative Partnerships in the Digital Ecosystems through Co-Lab (Andrea Gardeazabal, CIMMYT): Digital agriculture thrives on diverse collaborations and robust data governance. CGIAR’s Co-Lab bridges traditional knowledge with digital innovations for the Global South. This session highlights successful Co-Lab projects, best practices, and strategies for partnerships, connecting researchers, policymakers, and stakeholders to drive innovation and impact in agri-food systems.
  • Capturing CGIAR’s Data Resources: Digital Tools for Building Coordinated Data on Fields, Farms, and Food Systems (Jim Hammond, ILRI; Jacob van Etten, Alliance Bioversity-CIAT): Across the globe, many of the basic functions of CGIAR are repeated, but the resulting data is not coherently captured. Examples include agronomic trials, farmer selection of improved varieties, or household surveys, or market surveys. This session showcases the novel methods developed by CGIAR scientists to standardize these (and more) common practices using digital tools and user-centred design, realizing efficiency gains and harnessing huge amounts of data. With these novel datasets, new possibilities for analysis, impact assessment, and adaptive management are opened-up.Session 3 (17:40-18:30): Earth Observation Data and Analytics
    • Industrializing Earth Observation Services in Africa (Pierre Sibiry Traore, ICRISAT)
    • Crop Area and Crop Yield Estimation using Remote Sensing Data, Crop Models and Machine Learning Algorithms (Murali Krishna Gumma, ICRISAT): The integration of remote sensing data, crop models, and machine learning algorithms offers a reliable approach for estimating crop area and yield. The preparation of accurate base crop type mapping and ground information is crucial for reliable assessments. This data-driven approach enhances decision-making, optimizing resource use and improving productivity. It also enables informed crop selection through suitability analysis, promoting sustainable practices. In planning crop intensification, these technologies analyses soil and climate conditions, identifying potential areas for efficient and resilient agricultural practices.


  • Andre Moretto, CIMMYT
  • Giovanny Eduardo Covarrubias-Pazaran, IRRI
  • Andrea Gardeazabal, CIMMYT
  • Jim Hammond, ILRI
  • Jacob van Etten, Alliance Bioversity-CIAT
  • Pierre Sibiry Traore, ICRISAT
  • Murali Krishna Gumma, ICRISAT