1 Best APIs for Multiple Soil Depth Layers in Nigeria

iSDAsoil is an open-access soil data service developed by the International Soil and World Isric Data Centre for Africa, providing 30-meter resolution soil property maps across sub-Saharan Africa derived from machine learning models trained on thousands of soil samples collected across the continent. The iSDAsoil API provides programmatic access to this dataset, allowing agritech platforms, researchers, and farm advisory systems to query soil properties at any coordinates in Nigeria and across sub-Saharan Africa without requiring costly soil testing. The dataset covers 17 key soil properties including pH, organic carbon, total nitrogen, available phosphorus, potassium, calcium, magnesium, soil texture (percent sand, silt, and clay), bulk density, cation exchange capacity, and soil water holding capacity. These properties are provided at multiple soil depth layers — typically 0-20cm and 20-50cm — representing the root zone relevant for most agricultural crops. Having data at multiple depths allows for differentiated analysis of topsoil versus subsoil characteristics that affect nutrient availability and water retention differently. The spatial resolution of 30 meters is fine enough to capture field-level variation within a single farm. A typical Nigerian smallholder farm of 1-5 hectares may span several 30m grid cells, allowing soil property maps to show intra-farm variability. Areas with different soil textures, pH levels, or organic matter contents within the same farm can be identified through iSDAsoil queries, providing the data foundation for variable-rate fertilizer application recommendations that optimize input efficiency. Soil pH is among the most important parameters for crop productivity. Many Nigerian soils in humid forest zones tend toward acidity, limiting nutrient availability even when fertilizers are applied. iSDAsoil's pH data at the field level allows advisory tools to identify farms where lime application would unlock existing soil nutrients and dramatically improve fertilizer use efficiency, without requiring each farmer to pay for individual soil tests. Soil organic carbon is a key indicator of soil health, water retention, and natural nutrient supply. iSDAsoil's organic carbon data for Nigerian farmlands helps agritech platforms identify degraded soils with low organic matter that would benefit from organic inputs, compost, or cover cropping, and track the general state of soil health across agricultural landscapes for conservation planning. For agritech companies building farm advisory apps in Nigeria, iSDAsoil provides an immediate soil intelligence layer that can be queried for any farm location at negligible cost compared to laboratory soil testing. Rather than advising all farmers with the same generic fertilizer recommendations, apps can use iSDAsoil data to differentiate advice based on the actual soil properties measured at the farm's specific location. Agricultural lenders and microfinance institutions providing input loans to Nigerian farmers can use iSDAsoil data as one input into crop potential assessment. Fields with better soil physical and chemical properties carry lower agronomic risk, which can inform loan sizing or interest rates for input finance products. Integrating soil intelligence into credit scoring models makes agricultural lending more data-driven and less reliant on manual field visits. The iSDAsoil REST API accepts latitude and longitude coordinates and returns soil property values for the queried location. Responses include values at each depth layer and uncertainty estimates reflecting model confidence at the queried point. Applications that display soil data to users can include these uncertainty bounds to communicate the confidence level of the estimates clearly.