Credit Scoring for Unbanked Farmers: How MBC Uses Satellite Data
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Credit Scoring for Unbanked Farmers: How MBC Uses Satellite Data

MB
Anselmo Boaventura
Maputo Bridge Capital
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Maputo Bridge Capital (MBC), founded by Anselmo Boaventura in Fort Worth, Texas, addresses the gap faced by smallholder farmers who lack access to formal financial systems. By leveraging satellite imagery and community-verified data, the organization connects sponsors directly with verified farmers in Mozambique to support their agricultural seasons.

The Problem: Invisible Farmers

When a farmer in rural Mozambique interacts with formal financial institutions, they often face significant barriers to access. Without traditional documentation, they are frequently excluded from standard services:

  • No bank statement → access denied
  • No credit history → access denied
  • No formal collateral (such as a DUAT) → access denied
  • No formal income documentation → access denied

As a result, a vast majority of smallholder farmers remain outside the formal credit ecosystem, which limits their ability to invest in better inputs for their crops.

The Vision: Satellite Data and Agricultural Scoring

While MBC currently facilitates direct sponsorship, research into satellite-based scoring provides a glimpse into how technology could eventually transform Mozambican agriculture. Using six data sources, such systems could theoretically evaluate agricultural potential without requiring a bank account:

1. Satellite NDVI (30% weight)

  • Sentinel-2 satellite imagery at 10-meter resolution
  • Measures crop health via vegetation density
  • NDVI 0.6-0.9 indicates healthy crops
  • Updated every 5 days for objective monitoring

2. Mobile Money History (25% weight)

  • M-Pesa, e-Mola, and mKesh transaction patterns
  • Analysis of frequency, volume, and consistency of transactions
  • Observation of payment behavior with buyers and suppliers

3. Weather Data (15% weight)

  • Open-Meteo historical weather data integration
  • Analysis of rainfall vs. historical averages
  • Assessment of drought and cyclone risk by specific provinces

4. Farm Profile (15% weight)

  • Farm size, crop type, and years of farming experience
  • Cooperative membership status
  • Verification by field agents with biometric KYC

5. Repayment History (10% weight)

  • Previous performance on agricultural commitments
  • Xitique participation records
  • Cooperative credit history

6. Community Verification (5% weight)

  • Field agent verification of identity and land tenure
  • Cooperative leader references
  • Standing within the community

Theoretical Scoring Framework

In a research model, these data points would result in a score determining the capacity to support a farmer's operations. The following table illustrates a theoretical classification system for such potential agricultural scoring:

Score RangeGradeOperational Capacity
750-850AHigh yield potential, advanced support
650-749BModerate yield potential, standard support
550-649CEmerging potential, basic support
300-549DNeeds improvement for future cycles

$25 plants a farmer's season in Zambézia.

Paid straight to the local seed shop. You get the receipt, a field photo and a harvest update.

Giving Tuesday goal: 10 families$0 of $1,500

A gift, not an investment. Not tax-deductible.

Impact on the Smallholder Season

For a smallholder farmer, these technological insights represent the potential to overcome seasonal bottlenecks. By utilizing data to verify farm needs, farmers can secure the necessary seeds and fertilizer at the start of the planting cycle. When the harvest concludes, the repayment into a Community Fund ensures that the next farmer can access similar support, creating a sustainable cycle of agricultural growth facilitated by the COJAZ cooperative in Zambezia.

Frequently asked questions

What is satellite NDVI?

NDVI stands for Normalized Difference Vegetation Index. It uses satellite imagery to measure the density and health of green vegetation on the ground.

Why is weather data important for agricultural scoring?

Weather data provides essential context regarding environmental risks like drought or cyclones, which directly influence the success or failure of a farming season.

Can mobile money transactions reflect creditworthiness?

Yes, transaction patterns in mobile money services can indicate consistent economic activity, which serves as a proxy for the financial reliability of an unbanked individual.

Versão Portuguesa: Pontuação de Crédito para Agricultores Sem Banco

3 milhões de agricultores moçambicanos permanecem invisíveis para o sistema formal. Embora a MBC se concentre em ligar patrocinadores a agricultores através da cooperativa COJAZ na Zambézia, a tecnologia de satélite oferece uma visão fascinante sobre o futuro da agricultura.

O Problema: Agricultores Invisíveis

Quando um agricultor em Niassa tenta aceder a recursos, enfrenta barreiras severas:

  • Sem extrato bancário → acesso negado
  • Sem histórico de crédito → acesso negado
  • Sem garantia (DUAT não conta) → acesso negado

A Solução via Tecnologia de Dados

O futuro da agricultura em Moçambique poderá passar por modelos de pontuação que utilizam dados de satélite e histórico digital. Estes modelos consideram seis fontes:

  1. NDVI de Satélite (30%): Medição da saúde das culturas via satélite Sentinel-2.
  2. Histórico de Dinheiro Móvel (25%): Análise de padrões M-Pesa, e-Mola e mKesh.
  3. Dados Climáticos (15%): Comparação de precipitação com médias históricas.
  4. Perfil da Machamba (15%): Tamanho, tipo de cultura e experiência.
  5. Histórico de Pagamentos (10%): Desempenho em compromissos anteriores e xitiques.
  6. Verificação Comunitária (5%): Confirmação de identidade e referências da cooperativa.

O Impacto na Época Agrícola

Ao verificar as necessidades através de dados e agentes de campo, os agricultores conseguem obter sementes e fertilizantes no momento certo da plantação. Após a colheita, o reembolso para um Fundo Comunitário permite que o próximo agricultor receba o mesmo apoio, fortalecendo a rede da COJAZ em Zambézia.

Perguntas frequentes

O que é o NDVI de satélite?

O NDVI mede a saúde das culturas através da densidade da vegetação captada por imagens de satélite.

Por que dados climáticos são relevantes?

Dados sobre chuvas e riscos de ciclones ajudam a avaliar o sucesso potencial da colheita numa determinada província.

Como o dinheiro móvel ajuda na avaliação?

O histórico de transações em plataformas móveis serve como um indicador de atividade económica e comportamento financeiro.

Learn more about how sponsoring a farmer works or meet the farmers who are benefiting from this initiative. Read more on our blog to understand how to help farmers in Mozambique.

If you would like to help a smallholder farmer in Mozambique improve their harvest, please consider supporting them from $25 at /sponsor-a-farmer-mozambique. Sponsorships are gifts, not investments, and are not tax-deductible.

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Last updated: October 14, 2026