1 Best APIs for Soil Analysis Data in Nigeria

We've analyzed and compared the top 1 API providers supporting Soil Analysis Data for Nigerian developers and businesses. Find the right infrastructure fit for your startup below.

Written by Editorial Staffs as at 22nd June, 2026

All APIs with Soil Analysis Data

1 of 1 selected
Feature
NextYield (Ujuzi Kilimo)
PricingFreemium with limited free queries; paid tiers for higher volume and full feature access
Soil Analysis Data
Yes
Crop Recommendations
Yes
Yield Prediction
Yes
African Coverage
Yes
API Access
Yes
View Details
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NextYield (Ujuzi Kilimo)

NextYield (Ujuzi Kilimo)

NextYield by Ujuzi Kilimo is an agricultural data API that provides soil testing data, precision farming recommendations, and crop advisory services derived from Ujuzi Kilimo's soil intelligence platform focused on East and West Africa. Ujuzi Kilimo has built an extensive soil testing network and data model across African farming regions, and the NextYield API makes this data accessible to agritech developers building farm advisory platforms, digital extension services, and precision agriculture tools for African markets including Nigeria. The foundational insight behind Ujuzi Kilimo and NextYield is that African smallholder farmers make planting, fertilization, and management decisions with very little data about their specific soils and what those soils need. Generic fertilizer recommendations designed for average soil conditions are applied to fields with dramatically varying soil properties, resulting in either under-fertilization (crop underperformance) or over-fertilization (wasted inputs and cost). Soil-specific recommendations based on actual soil measurements dramatically improve fertilizer use efficiency and yields. Ujuzi Kilimo's soil testing program collects physical soil samples from African farms, analyzes them in certified laboratories for key parameters including pH, nitrogen, phosphorus, potassium, organic matter, and soil texture, and builds a spatially referenced database of soil properties across agricultural landscapes. NextYield APIs access this database plus derived recommendation models to provide crop-specific advice calibrated to the actual soil conditions at queried farm locations. Crop recommendations from NextYield are generated based on the intersection of soil properties, local climate data, and crop agronomic requirements. For a Nigerian farmer querying what inputs to apply to a specific field for a maize crop, NextYield can recommend fertilizer type, application rate, and timing based on the soil's measured nutrient levels and pH, rather than applying national average recommendations that may not reflect field reality. Yield prediction capabilities help Nigerian farmers and agricultural businesses plan harvests, optimize pre-sale agreements, and manage supply chain logistics. A farm advisory app that can tell a farmer their expected yield range for the current season based on soil quality, applied inputs, and weather helps that farmer make better decisions about storage, transport, and market timing. Agritech platforms in Nigeria focused on input sales optimization โ€” whether direct-to-farmer apps or B2B agribusiness tools โ€” can use NextYield to match specific fertilizer and soil amendment products to farm needs. Recommending the specific product and dose that the soil actually requires, rather than a generic NPK blend, improves outcome quality for farmers and builds trust in the advisory platform. For Nigerian agricultural lenders and microfinance institutions offering input credit, soil quality data from NextYield provides agronomic context for loan decisions. Farms with soil deficiencies that can be corrected with targeted inputs represent good lending candidates if the input recommendations are followed; farms with structural soil problems may warrant different loan structures or more intensive agronomic support. NextYield data is particularly relevant for Nigeria's fertilizer subsidy programs and agricultural input distribution systems. Government programs seeking to optimize subsidy allocation by directing the right inputs to farms that most need them can use soil intelligence to prioritize distribution based on demonstrated soil needs rather than administrative convenience. This data-driven approach to agricultural input programs improves the cost-effectiveness of government agricultural support spending.