Report of CGIAR’s Digital Transformation Accelerator side event–AI-powered innovation: Acceleration research for agri-food system transformation
| cg.authorship.types | CGIAR single centre | |
| cg.contributor.affiliation | International Livestock Research Institute | |
| cg.contributor.donor | CGIAR Trust Fund | |
| cg.contributor.programAccelerator | Digital Transformation | |
| cg.creator.identifier | Ram Dhulipala: 0000-0002-9720-3247 | |
| cg.howPublished | Grey Literature | |
| cg.place | Nairobi, Kenya | |
| cg.subject.ilri | FOOD SYSTEMS | |
| cg.subject.ilri | INNOVATION SYSTEMS | |
| dc.contributor.author | Ojanji, Wandera | |
| dc.contributor.author | Dhulipala, Ram | |
| dc.date.accessioned | 2025-09-15T17:40:25Z | |
| dc.date.available | 2025-09-15T17:40:25Z | |
| dc.identifier.uri | https://hdl.handle.net/10568/176498 | |
| dc.title | Report of CGIAR’s Digital Transformation Accelerator side event–AI-powered innovation: Acceleration research for agri-food system transformation | en |
| dcterms.abstract | CGIAR’s Digital Transformation Accelerator Side Event: Digital innovations for advancing agri-food systems research, held during Science Week 2025 showcased how artificial Intelligence (AI) is reshaping agri-food systems research, innovation, and advisory services, particularly in the Global South. Attended by over 250 participants both in person and online, the four-hour session highlighted frontier AI applications while addressing critical institutional, ethical, and localization challenges in scaling digital innovation. Keynote addresses by Aisha Walcott-Bryant, head of Google Research Africa presented real-world applications of AI for climate resilience, including flood forecasting, field boundary detection, and hyper-local weather prediction. These solutions underscored the transition from experimentation to wide-scale operational deployment. Thematic sessions demonstrated AI’s versatility across the following agricultural domains: • Generative AI for advisory services: The International Maize and Wheat Improvement Center (CIMMYT) and partners showcased how AI tools are being localized to provide multilingual, personalized, and voice-enabled farming advice. Innovative uses of large language models (LLMs), Interactive Voice Response (IVR) systems, and WhatsApp-based tools emphasized accessibility for low-literacy and digitally marginalized users. • Earth observation and AI for climate adaptation: The University of Galway introduced tracking adaptation progress in agriculture and food security (TAPAS), a platform leveraging satellite data and machine learning to monitor adaptation outcomes, assess investment impacts, and guide climate resilience strategies. • AI in genebank management: The International Rice Research Institute (IRRI) presented transformative use cases of AI in managing rice genetic resources, from automating seed phenotyping to enhancing genetic diversity analysis through image-based classification models and natural language interfaces. • Artemis: AI-powered phenotyping: The Tanzania-based Artemis project was launched as a scalable, AIenabled platform using smartphone-based digital phenotyping. The project combines frugal innovation, interdisciplinary collaboration, and speech recognition to empower breeding programs and integrate farmer voices into research workflows. • The Agricultural Information Exchange Platform (AIEP): A multi-organization initiative piloted AI-powered advisory tools tailored for smallholder farmers in Kenya and India. Co-designed with end users, the platform supports voice, SMS, and chatbot interfaces to deliver timely, localized, and gender-sensitive agricultural information. Throughout the event, discussions emphasized the shift from proof-of-concept pilots to institutional readiness and sustainable models for AI adoption. Key takeaways included the need for interdisciplinary partnerships, participatory design, open-source data infrastructure, and responsible governance to ensure that AI contributes to equitable and impactful transformation of agri-food systems. The event concluded with calls for broader collaboration across public, private, and research sectors to codevelop AI solutions that are inclusive, context-aware, and scalable. | en |
| dcterms.accessRights | Open Access | |
| dcterms.audience | CGIAR | |
| dcterms.audience | Donors | |
| dcterms.audience | Scientists | |
| dcterms.bibliographicCitation | Ojanji, W. and Dhulipala, R. 2025. Report of CGIAR’s Digital Transformation Accelerator side event–AI-powered innovation: Acceleration research for agri-food system transformation. Nairobi, Kenya: ILRI. | |
| dcterms.issued | 2025-04-30 | |
| dcterms.language | en | |
| dcterms.license | CC-BY-4.0 | |
| dcterms.publisher | International Livestock Research Institute | |
| dcterms.subject | agrifood systems | |
| dcterms.subject | food systems | |
| dcterms.subject | digital innovation | |
| dcterms.subject | transformation | |
| dcterms.subject | artificial intelligence | |
| dcterms.type | Report |