Tools & Services 2018-10-05T15:56:38+00:00

We are currently recruiting a core team who will be responsible for building, maintaining and developing our products and services.

In the short term, the legacy AfSIS data, software and analysis techniques are being maintained by the existing project team. An overview is given below and further information can be found at the project website:


Remote Sensing Covariates:

Climate and land data derived from Sentinel, MODIS, Landsat and SRTM satellites

View remote sensing data


250m spatial predictions of multiple soil properties for the African continent at two to six standard soil depths.

Discover SoilGrids

Africa Soil Profiles Database:

Historic and Field Collected Soil Profile Data

See the data


Reliable and secure cloud-based database of VNIR soil information, with an easy-to-use web interface. Upload data off-site with automated input validation that supports native spectroscopy formats.

Learn More about AfSISDB


Use the combined power of crowdsourcing and machine learning to identify different land uses and classify terrain maps

Visit Geosurvey


Easily upload sampling strategies for large-scale field surveys to your Android phone, with automated support for a wide range of essential data including georeferences, timestamps, pictures, barcode scanning, caching until wifi returns, and scalable geospatial visualizations and fraud detection.

Visit mobilesurvey


Automatically create barcodes and QR codes that include a geo-reference, soil depth and time

Create barcodes and QR codes


Navigate more efficiently through the wilderness with GPS-based grid locators and operations research tools.

Visit bush navigation


Design randomised sampling strategies that minimise transport costs

Find out more about Sampling


Collect UAV imagery that will lead to automated assessment of crop distribution, human settlements, carbon storage, erosion, livestock, temperature, water, etc. Provides additional basemaps for geosurvey. Crowdsharing of UAV data!

Find out more about UAV


Visualize and download maps of remote sensing data and newly generated predictions of soil chemistry.

Discover map data


Upload spectroscopy measurements to predict concentrations of critical nutrients and trace elements in the soil by leveraging the Bayesian Additive Regression Trees (BART) algorithm, which couples estimates with statistically backed uncertainty measurements.

Add your spectroscopy measurements

For a full list of the software developed as part of the AfSIS project please see www.qed.ai/ag



We are in the process of building our GitHub repository. For now, we have linked all the relevant AfSIS projects here:

GitHub Repository

Contact Us