The client needed a tool to centralize and visualize soil information gathered from research sites, remote sensing, and predictive soil models. , 0–5 cm, 5–15 cm), with support for interactive querying and downloadable data outputs.

Agricultural Research and Development Organization
Depth-Aware Visualization: soil properties vary vertically as well as geographically, and the map had to show both. Data Volume and Aggregation: serving high-resolution soil maps without losing responsiveness. Flexible Dataset Management: non-technical admins upload and manage layered soil data across several formats.
SoilHub is a web system for the agricultural industry to view, analyse, and manage digital soil data. It maps soil by depth on a hexagon grid, with soil property graphs, search, and dataset management. We built a map-driven web app with a hexagon grid overlay, where each hex is a geographic unit carrying soil properties such as pH, organic carbon, texture, and moisture. Selecting a hex and a depth layer brings up the charts for it, shows how the property is distributed, and compares layers over time. An admin panel manages soil datasets, metadata, and UI content on the backend, so map layers and dataset models can be updated quickly.
Discovery phase with domain experts to define the soil data model and depth segmentation; Map integration on Leaflet with a custom hexagonal tiling engine; Backend services for serving and caching soil property data; Admin panel with authentication and dataset CRUD; Per-depth soil property charts; Testing with sample datasets across scales and depth levels; Deployment to a cloud environment built to scale.
SoilHub puts digital soil mapping in one place, showing soil properties both across an area and down through it. Researchers, agronomists, and policymakers use it to assess land suitability, track degradation, and decide how land is managed.
SoilHub is a web system for the agricultural industry to view, analyse, and manage digital soil data. It maps soil by depth on a hexagon grid, with soil property graphs, search, and dataset management.



