Transforming Nigerian Agriculture Through Data Intelligence
Despite employing over 35% of Nigeria's workforce, agriculture receives less than 5% of formal credit. The sector remains constrained by fragmented, outdated, and inaccessible data.
Understanding the Stakeholders and Their Data Needs
60% of smallholder farmers are women, yet they are systematically undercounted in national databases.
Result: Women miss out on 80% of agricultural interventions designed without gender-disaggregated data.
Agriculture employs 35% of workforce but receives <5% of formal credit.
Banks cannot lend without verifiable farmer data, credit history, or yield records.
48% of farmers cite lack of finance as primary challengeInput utilization dropped from 81% (2024) to 62% (2025) due to escalating costs and untargeted subsidies.
Without data, government cannot identify who needs what, where.
Northern Nigeria rainfall 64% below normal (Jan-Apr 2024). Arable land decreased 13%.
No real-time data means no adaptive responses for farmers.
Integrating Fragmented Data into a Single Source of Truth
Current state: National farmer register last updated 5+ years ago
Data types: Farmer registrations, subsidy records, extension reports
Data types: Agricultural GDP (2.82% growth Q2 2025), crop production surveys
Challenge: Aggregated data, not farm-level granular
Data types: Loan disbursements, repayment records, farmer verification
Achievement: Mapped 184 wards, tens of thousands of farmers with geotagged accuracy
Challenge: 35 other states with varying data maturity
Data types: Price discovery, crop production reports, input usage trends
Coverage: Maize, rice, soybeans, sorghum, cocoa, ginger, sesame, cashew
Data types: Real-time agro-climatic assessments, yield predictions, early warnings
Insight: 64% below normal rainfall detection enabled adaptive responses
Data types: Field registration, GPS mapping, input distribution, repayment cycles
Innovation: Offline-first architecture for rural connectivity
Data types: Gender-disaggregated farmer data, needs assessment
Built for Nigerian Realities: Scalable, Resilient, Inclusive
Inspired by Thrive Agric: field data collection on low-cost phones, sync when network available
Link farmer records to National Identity Number for unique, deduplicated profiles
Built-in gender tags to track women farmers (60% of smallholders) separately
farmer_key (PK)
nin (National ID)
swofon_member (boolean)
gender
age
farm_location (state, LGA, ward)
geotagged_coordinates
verification_status
bank_verification_number
cooperative_name
intervention_id (PK)
programme_name (ABP/NAGS-AP/etc.)
input_type (fertilizer/seed/loan)
quantity_received
date_received
disbursement_channel
repayment_status
impact_measurement
Kimball Star Schema for Nigerian Agricultural Analytics
transaction_id (PK)
date_key (FK)
investor_key (FK)
farm_key (FK)
crop_key (FK)
investment_amount
actual_roi
risk_score
farm_key (PK)
farm_id (Natural Key)
farm_name
farm_size_hectares
soil_type
region
valid_from
valid_to
is_current
Real-Time Visibility into Nigeria's Agricultural Transformation
| 1. Kano | 245,000 farmers |
| 2. Kaduna | 198,000 farmers |
| 3. Abia | 156,000 farmers |
| 4. Benue | 145,000 farmers |
| 5. Ogun | 132,000 farmers |
NADF's Vision: "Every naira spent translates into measurable, evidence-based impact"
AFEX Approach: "Data helps banks design products for rural clients, insurers price risk better"
Building on Existing Initiatives, Leveraging Local Partners
📍 Pilot States: Abia, Kaduna, Kano
Partners: State Ministries, NIMC, NASRDA
📍 Expand to 12 States
Partners: CBN, AFEX, SWOFON
📍 National Coverage
Partners: NBS, NiMet, Development Banks
📍 West Africa Regional Hub
Partners: ECOWAS, AfDB, UNCTAD
Launched December 2025, Abia ADDS has transformed agricultural planning in the state:
In 2024, CropWatch detected that northern Nigeria rainfall was 64% below the 15-year norm. Nigerian authorities provided timely guidance to farmers on adaptive strategies, minimizing potential crop losses.
Built to Last: Addressing Real-World Challenges
Solution: Offline-first architecture - field officers collect data on low-cost phones, sync when network available.
Solution: NIN integration + biometric verification + geotagged farm locations.
Solution: Gender-disaggregated data by design, partner with SWOFON for targeted enumeration.
Solution: Revenue-generating API services for commercial users, government core funding.
Solution: Tiered access + NDPR compliance. Farmers control their data.
Solution: Real-time satellite integration with CropWatch for early warnings.
Projected: ₦500M annual revenue by Year 3, self-sustaining by Year 4
We have the tools. We have the talent. We have the vision.
What we need now is the collective will to build a data-driven agricultural future.
"Today, we celebrate more than a platform. We celebrate the emergence of a new Nigeria, one that knows its farmers, understands its land, and plans with intelligence. A Nigeria where agriculture becomes a true engine of prosperity."
- Adapted from Abia State Commissioner for Agriculture
Visibility, access, dignity
Evidence, efficiency, impact
Confidence, returns, scale
Food security, prosperity, leadership
Be part of building Nigeria's agricultural intelligence infrastructure
Opeyemi Opeoluwa | Certified Data Engineer | Deeptech ID: FE/25/515568723
3MTT & Deeptech Programme | Federal Ministry of Communications, Innovation & Digital Economy
"If we can unite innovation with insight and ICT with integrity, we can build agricultural systems that are inclusive, efficient, and sustainable."