Responsible AI & Ownership Model for Kenyan Women & Youth Farmers

Traceable, Inclusive Agri-EcosystemsResponsible AI & Ownership Model for Kenyan Women & Youth FarmersPresented by: Sharon Kaitano – Founder & Chief Digital Traceability ArchitectDate: 18th June 2025ORCID: https://orcid.org/0009-0003-6017-2656 This pitch deck outlines Trajectory Trace, a hybrid digital traceability platform developed by Trajectory Strategy & Management Consultants to formalize Kenya’s smallholder agriculture through responsible AI, inclusive ownership, and actionable, locally governed data systems. The solution empowers women and youth farmers to enter formal value chains via mobile-based planting logs, PH-quality certification, consent-driven data sharing, and tax-compliant e-TIMS invoicing. The platform integrates ethical data governance, cooperative reporting, and smart dashboards (Power BI, KoboToolbox), enabling verified interactions across producers, cooperatives, buyers, and public institutions. Trajectory Trace supports Kenya’s national digital transformation agenda and aligns directly with SDG targets 2, 4, 5, 8, 9, 12, and 17. This deck was submitted to the Sorenson Impact Foundation’s 2025 Grant Program as part of a catalytic funding round to scale responsible, sustainable, and inclusive agri-data infrastructure. Keywords: Traceability, Smallholder Farmers, Responsible AI, Digital Agriculture, e-TIMS, Inclusive Development, Youth & Women Empowerment, AgriTech, Data Governance, Kenya, SDGs, Post-Harvest Loss, Cooperative Markets License: © Sharon Kaitano 2025. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-18
DOI
https://doi.org/10.5281/zenodo.15689979
Primary Topic
Smart Agriculture and AI
Type
article
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article

Responsible AI & Ownership Model for Kenyan Women & Youth Farmers

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Responsible AI & Ownership Model for Kenyan Women & Youth Farmers

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Abstract

Traceable, Inclusive Agri-EcosystemsResponsible AI & Ownership Model for Kenyan Women & Youth FarmersPresented by: Sharon Kaitano – Founder & Chief Digital Traceability ArchitectDate: 18th June 2025ORCID: https://orcid.org/0009-0003-6017-2656 This pitch deck outlines Trajectory Trace, a hybrid digital traceability platform developed by Trajectory Strategy & Management Consultants to formalize Kenya’s smallholder agriculture through responsible AI, inclusive ownership, and actionable, locally governed data systems. The solution empowers women and youth farmers to enter formal value chains via mobile-based planting logs, PH-quality certification, consent-driven data sharing, and tax-compliant e-TIMS invoicing. The platform integrates ethical data governance, cooperative reporting, and smart dashboards (Power BI, KoboToolbox), enabling verified interactions across producers, cooperatives, buyers, and public institutions. Trajectory Trace supports Kenya’s national digital transformation agenda and aligns directly with SDG targets 2, 4, 5, 8, 9, 12, and 17. This deck was submitted to the Sorenson Impact Foundation’s 2025 Grant Program as part of a catalytic funding round to scale responsible, sustainable, and inclusive agri-data infrastructure. Keywords: Traceability, Smallholder Farmers, Responsible AI, Digital Agriculture, e-TIMS, Inclusive Development, Youth & Women Empowerment, AgriTech, Data Governance, Kenya, SDGs, Post-Harvest Loss, Cooperative Markets License: © Sharon Kaitano 2025. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

Zenodo (CERN European Organization for Nuclear Research)
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Smart Agriculture and AI
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Responsible AI & Ownership Model for Kenyan Women & Youth Farmers · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS