Research-oriented NGO & Foundation

Research that strengthens Tanzania's farms.

We work with Tanzania's farmers to generate practical evidence—and turn validated findings into training, tools, partnerships, and support that strengthen agriculture.

Utafiti na wakulima,
research with farmers.

LEARN

Research to adoptionEvidence that travels

Our starting pointFarmer questions come first

Why this foundation

Evidence and support belong in the same field.

From the slopes of Kilimanjaro to the Southern Highlands and the coastal belt, farmers are already observing change, comparing practices, and adapting. Their questions should shape the research agenda.

Our NGO/Foundation model connects local knowledge, rigorous field research, capacity building, and practical farmer support—so good evidence becomes real agricultural progress.

10,000farmer research participants
25community living labs
12multi-season studies
100%plain-language outputs

Research
targets

Research-to-support model

Study the problem.
Support the solution.

We are designed to bridge the gap between research and delivery. Support follows evidence, responds to local context, and keeps farmers involved from the first question to adoption.

01

Listen & research

Farmer organizations shape priority questions, baselines, study sites, and the outcomes that count.

  • Farmer research agenda
  • Field diagnostics & baselines
02

Test & validate

Promising practices are compared transparently through on-farm trials and community living labs.

  • Multi-season field trials
  • Cost, risk & labour analysis
03

Support & equip

Validated learning becomes practical assistance delivered with trusted local partners.

  • Kiswahili training & advisory
  • Demonstrations, tools & referrals
04

Share & strengthen

Evidence is translated for extension, farmer groups, funders, markets, and public decision-makers.

  • Open evidence products
  • Systems & policy engagement
Mission

Generate trusted agricultural evidence and help Tanzanian farmers apply it to improve resilience, productivity, income, and agency.

Vision

A thriving, inclusive, climate-resilient Tanzanian agricultural system shaped by informed farmers and locally relevant research.

Tanzania focus · Mwelekeo wetu

One country.
Many farming realities.

Our research and farmer support are designed around Tanzania's different climates, crops, cultures, and market systems—not a one-size-fits-all model.

Priority learning networkUnited Republic of Tanzania
Priority research questions
  • 01What works under climate and water stress?
  • 02Which practices reduce post-harvest loss?
  • 03How can advisory improve real decisions?
  • 04What strengthens farmer market power?
  • 05Who benefits—and who may be excluded?
01

Northern Highlands

Arusha · Kilimanjaro · Manyara

Coffee · maize · horticulture · livestock
02

Central Corridor

Dodoma · Singida · Tabora

Sunflower · sorghum · millet · grapes
03

Southern Highlands

Mbeya · Songwe · Iringa · Njombe

Maize · beans · tea · coffee · avocado
04

Lake Zone

Kagera · Mwanza · Mara · Shinyanga

Banana · coffee · cotton · rice · livestock
05

Coast & South

Pwani · Tanga · Lindi · Mtwara · Zanzibar

Cashew · cassava · coconut · spices
Kiswahili kwanza

Consent, field tools, findings, and recommendations in clear Kiswahili—so research participation and value are never limited by language.

Research agenda

Six connected fields of inquiry.

Each theme connects biophysical evidence with livelihoods, adoption, and institutions—because a result only matters if it works in context.

01

Climate, crops & seed

Multi-season trials of locally relevant varieties, planting windows, crop diversity, and climate-risk strategies across Tanzania’s growing zones.

Adaptive field research
02

Soil, water & agroecology

Farmer-led experiments in soil health, water harvesting, agroforestry, nutrient efficiency, and regenerative production systems.

Measure what regenerates
03

Post-harvest & value chains

Applied research on storage, quality, aggregation, processing, logistics, price discovery, and routes to stronger farmer margins.

Evidence beyond the farm
04

Livelihoods, gender & youth

Mixed-method research on agency, labour, land, finance, health, entrepreneurship, and who benefits from agricultural innovation.

Equity in every question
05

Digital agronomy & AI

Responsible testing of weather services, decision support, remote sensing, AI, and low-bandwidth advisory in real farm conditions.

Useful, safe, accessible
06

Knowledge, policy & adoption

Research into indigenous knowledge, extension models, behaviour, institutions, and what helps proven practices travel responsibly.

From evidence to action
Participatory research cycle

Ask well.
Test fairly.
Learn together.

Rigour and participation strengthen each other. Every study follows a transparent path from local question to tested finding and responsible use.

Propose a research partnership
  1. 01

    Co-define the question

    Farmers, researchers, and local partners agree the decision, outcome, and context that matter.

  2. 02

    Design the protocol

    Methods, comparisons, sampling, consent, risks, and analysis plans are made explicit.

  3. 03

    Run on-farm research

    Multi-site trials and mixed methods capture both performance and lived experience.

  4. 04

    Analyze and validate

    Findings, uncertainty, limitations, and farmer interpretation are examined together.

  5. 05

    Translate and learn

    Results become Kiswahili guidance, protocols, briefs, datasets, and the next research question.

Research integrity

Evidence people can trust.

Our operating standard joins ethical participation, methodological transparency, responsible data use, and knowledge that returns value to the communities that helped create it.

01

Farmer-defined questions

Research starts with the decisions farmers need to make—not with a technology looking for a field.

02

Free, informed consent

Participation is voluntary, understandable, and respectful of people, land, time, and local knowledge.

03

Responsible data

Collect only what is needed, protect identities, document provenance, and agree how data can be reused.

04

Reproducible methods

Pre-specified questions, clear protocols, appropriate comparisons, and transparent limitations.

05

Shared interpretation

Farmers and local partners help interpret findings before recommendations or scale decisions are made.

06

Open, useful knowledge

Plain-language and Kiswahili outputs sit beside technical reports, protocols, and learning datasets.

Open research shelf

Protocols, briefs, data frameworks, and learning products.

All items below describe the planned publication pipeline—not completed studies.

RA–001
Research agenda

Tanzania Farmer Research Priorities

In development
FP–001
Field protocol

Participatory On-Farm Trial Toolkit

In development
EB–001
Evidence brief

Climate-Resilient Seed Selection

Planned 2026
DF–001
Data framework

Farm Resilience Indicator Set

Planned 2026
Research to impact

A finding matters when it improves a decision.

We follow the full pathway from study quality to farmer relevance, adoption, resilience, income, and the distribution of benefits.

Research translation goal
“Show me what works here, what it costs, and what risk I take.”

Useful evidence combines effect, cost, labour, uncertainty, local fit, and farmer experience—not a headline result alone.

What we measure01—05
  • 01Study quality
  • 02Farmer relevance
  • 03Practice adoption
  • 04Outcome durability
  • 05Equity of benefit

Illustrative dashboard · final indicators are agreed with each community.

Support research and farmers

Help evidence become action.

Contributions in USD or the TZS equivalent support ethical research, farmer participation, field demonstrations, Kiswahili learning, and translation into practice.

$25

Test a soil sample

Support basic field measurements that help turn observation into usable evidence.

Choose this gift
$250

Back an on-farm trial

Help fund farmer time, trial inputs, monitoring, analysis, and shared learning.

Choose this gift
100

Clear, honest reporting.

Partners receive protocols, progress updates, findings, limitations, and lessons learned—not just success stories.

Fund a full study
Work with us · Tufanye kazi pamoja

Bring a question, community, site, method, or resource.

We welcome Tanzanian farmer groups, universities, research institutes, NGOs, foundations, extension teams, responsible agribusinesses, donors, and technical collaborators.

Questions, answered

Before we grow together.

Is this a research institution or farmer-support NGO?+

Both by design. The Foundation uses applied research to understand what works, then partners with farmers and local organizations to translate validated learning into practical support.

Where in Tanzania will the foundation work?+

Our Tanzania-first model is designed for farming communities across the Northern and Southern Highlands, Central Corridor, Lake Zone, and coastal regions. Actual program locations will be selected with local partners and communities.

How are research questions selected?+

Questions are prioritized by farmer relevance, evidence gaps, feasibility, ethics, potential value, and whether the answer can improve a real decision in Tanzania.

Can an institution co-design or co-fund a study?+

Yes. We welcome aligned farmer organizations, universities, research institutes, foundations, public agencies, and responsible private-sector partners for transparent multi-season research.

How will research participants be protected?+

Every study will require understandable consent, proportional data collection, privacy safeguards, risk review, fair recognition, and a clear route for findings to return to participants.

Will support be available in Kiswahili?+

Yes. Farmer-facing learning and advisory content will prioritize clear Kiswahili, with local-language support where community partners identify the need.

How will evidence and impact be reported?+

Research reporting will distinguish planned protocols, interim observations, completed findings, limitations, and downstream outcomes. Negative and inconclusive results still count as learning.