2 Best APIs for Extension Support in Nigeria

FarmData Nigeria is a local agritech data platform providing agricultural datasets, farm records management, and research-grade data services specific to Nigeria's farming landscape. The platform aggregates farm-level data, crop yield records, soil information, and agricultural statistics from Nigeria's diverse agroecological zones to support agritech applications, agricultural research institutions, development organizations, and government agencies that require Nigeria-specific agricultural data for their programs and products. Nigeria's agricultural data landscape has historically been fragmented and sparse. National agricultural surveys are conducted infrequently, farmer record-keeping is minimal, and the spatial detail of available datasets is often insufficient for farm-level applications. FarmData Nigeria addresses this gap by building a continuously updated repository of Nigerian agricultural data through farmer engagement programs, partnership data collection, and integration of secondary sources including government statistics, remote sensing products, and academic research. The farm records component of the platform provides Nigerian agritech applications with a backend data management service for storing and retrieving farmer profile data, field boundaries, historical crop production records, input purchase records, and harvest outcomes. For Nigerian agritech companies that want to build farmer profile systems without developing their own data storage infrastructure from scratch, FarmData Nigeria offers a Nigeria-optimized data model that reflects the structure of Nigerian smallholder farm operations. Agritech developers building digital financial services for Nigerian farmers — input credit, savings products, agricultural insurance — need farmer profile data that captures production history, land holdings, and crop choices. FarmData Nigeria's farmer profile data, collected and verified through field programs, can support credit scoring models and insurance underwriting processes that base decisions on actual agricultural track records rather than proxy financial indicators. Research institutions — including Nigerian universities, the International Institute of Tropical Agriculture (IITA) with its major presence in Ibadan, and international research programs focused on African agriculture — can access FarmData Nigeria's dataset to support crop improvement research, agricultural economics studies, and development impact evaluations. Having access to nationally representative Nigerian farm data through an API reduces the research data collection burden and enables studies at scales that individual research programs could not achieve through independent field surveys. Government agencies responsible for agricultural statistics and planning — including the National Bureau of Statistics, the Federal Ministry of Agriculture and Rural Development, and state Agricultural Development Programs — can use FarmData Nigeria's farmer-level data to supplement and validate official agricultural surveys, enabling more frequent and spatially detailed updates to national agricultural statistics than are possible with traditional survey-only approaches. For Nigerian commercial agribusinesses — large-scale commodity traders, input companies, agricultural banks, and processing firms — FarmData Nigeria provides structured access to data about production patterns, farmer practices, and geographic distribution of crops across Nigeria. This data supports procurement planning (estimating available supply volumes in different regions), product targeting (identifying farmer segments for new input products), and expansion planning (understanding where specific crops are concentrated). The platform's Nigeria-specific data focus distinguishes it from global agricultural data providers that may have limited on-the-ground data for Nigeria. Data collected through FarmData Nigeria's local field programs reflects actual Nigerian farming conditions — the specific varieties grown, the input practices actually used, the market channels actually available — rather than model-based estimates derived from regional averages that may not capture Nigeria's agricultural diversity accurately.

Ujuzi Kilimo Data is the data services layer of Ujuzi Kilimo, an East African agritech company that has built one of Africa's most comprehensive soil intelligence platforms through systematic soil sample collection and laboratory analysis across agricultural regions. The Ujuzi Kilimo Data API provides access to soil testing results, derived crop recommendations, and precision agriculture advisory services to agritech developers and agricultural service providers building farm advisory tools for African markets including Nigeria. Ujuzi Kilimo's core innovation is a soil testing and advisory system scaled for smallholder farmer economics. Traditional laboratory soil testing in Africa costs between $20-50 per sample, which is unaffordable for smallholder farmers with income levels of $1-5 per day. Ujuzi Kilimo has driven down testing costs through efficient sample collection programs, shared laboratory analysis, and spatially referenced soil databases that allow interpolation of soil properties to untested locations near tested ones. This cost reduction strategy makes soil intelligence economically viable at the smallholder scale that dominates African and Nigerian agriculture. The soil intelligence database that Ujuzi Kilimo has built through systematic sampling covers key agricultural regions with spatially referenced soil property measurements including pH, nitrogen, phosphorus, potassium, calcium, magnesium, organic carbon, and soil texture. This database is continuously expanded through ongoing sampling programs and allows soil property queries for locations near sampled areas through spatial interpolation models, providing soil data coverage that extends well beyond the specific sampling locations. Crop-specific nutrient recommendations generated from Ujuzi Kilimo's advisory models combine soil nutrient status with crop nutrient requirements at different growth stages to produce fertilizer prescriptions tailored to the actual soil deficiencies at each farm location. For a Nigerian farmer growing maize on a field with measured phosphorus deficiency and adequate nitrogen, the recommendation differs from a generic NPK formula — the Ujuzi Kilimo recommendation might specify a phosphorus-heavy starter fertilizer at planting with a reduced nitrogen topdress, reflecting the actual soil condition rather than average crop requirements. pH-based lime recommendations are among the highest-value outputs of the Ujuzi Kilimo system for Nigerian agriculture. Soil acidity is a widespread and underdiagnosed constraint on Nigerian crop yields, particularly in the forest zone soils of southern and central Nigeria where leaching over long periods has depleted base cations. Many Nigerian farmers apply fertilizer to acidic soils without liming first, drastically reducing fertilizer use efficiency. Soil-specific lime rate recommendations from Ujuzi Kilimo's data can unlock latent yield potential for Nigerian farmers at relatively low cost. Integration of Ujuzi Kilimo Data into Nigerian agritech applications allows those apps to move from generic crop advisory content — one-size-fits-all recommendations that apply equally to all farmers regardless of their specific soil conditions — to location-specific, soil-informed recommendations that are more accurate and more credible to farmers who know their specific fields have specific characteristics. This customization is what turns a generic advisory app into a trusted agronomic advisor. Agricultural input companies operating in Nigeria can use Ujuzi Kilimo Data to match their product portfolio to farmer soil needs at scale. Rather than promoting the same fertilizer blend to all farmers, input companies can use soil data to recommend specific products matched to demonstrated soil deficiencies, improving farmer outcomes, building brand loyalty, and enabling more targeted marketing and distribution. For Nigerian microfinance institutions and agricultural lenders offering input credit, soil quality data from Ujuzi Kilimo provides agronomic context for loan risk assessment. A farmer with good soil quality that is currently nutrient-deficient represents good lending risk if provided with the right inputs at the right time; a farmer with structural soil problems may need different support. Integrating soil intelligence into agricultural lending decisions moves the industry toward more accurate, data-driven risk assessment.