Seed systems & resilience
Seed system resilience assessments, community seed banks, farmer-managed systems, crop diversification and seed quality assurance, including work in fragile contexts.
ResearchEvidence for
Evidence for
practical decisions.
My research connects seed systems, agricultural diversity, digital advisory tools and data governance. This page presents selected publications and knowledge products, rather than a complete bibliography.
Research themes
Questions that guide the work.
Digital & AI tools
Seed demand forecasting, seed tracking, dashboards and locally hosted RAG advisory prototypes that retrieve information from a defined set of sources.
Data stewardship
Research data management, FAIR practices, DPIAs and data-sharing agreements, informed by GDPR, the EU AI Act and the Data Governance Act.
Selected knowledge products
Publications and practical resources.
2023
Training manual: seed business management
Wageningen Centre for Development Innovation · Report WCDI-23-310 · 72 pages
A practical manual on seed business management, drawing on seed-sector programmes in Myanmar.
Read the WUR record ↗2016
Community Seed Banks: A sustainable response to small and marginal farming against climate change hurdles
Agriculture World · Article
Community seed banks, agricultural diversity and adaptation for small and marginal farmers.
Read the author-uploaded article ↗2015
Broadening the genetic base and knowledge of cultivated crops for climate adaptation: A citizen science approach
UNESCO / IPCC conference, Paris · Abstract and poster
Citizen science and crop diversity as a way to support climate adaptation.
View the conference contribution ↗Tools & methods
Practical research infrastructure.
I work with local AI tools, research data workflows and field survey methods. Tool choice follows the question and the context.
- Local AI: Ollama, Mistral, FAISS / ChromaDB, Streamlit and Docker
- Data collection and analysis: KoBo / ODK, KNIME and Python at a basic level
- Data stewardship: FAIR, DataCite, Dublin Core and evaluation of Yoda / iRODS
- Visualisation and citizen science: Power BI, Looker and ClimMob