Connected Farmer Intelligence Using Knowledge Graphs
A relationship-centric intelligence solution linking farmers, households, livestock, campaigns, societies and service interactions using an enterprise knowledge graph.
- Stage
- Delivered client engagement
- Industry
- Agriculture and Dairy Ecosystem
Summary
In brief
OB360 delivered a knowledge-graph solution for a farmer and livestock ecosystem. It reconciles farmer identities across source systems and connects farmers, households, livestock, societies, campaigns and service interactions in a Neo4j graph, exposed through a graph API and relationship-driven dashboards.
This is delivered client work. The client and project names are withheld.
Challenge
The business challenge
A farmer and livestock ecosystem brings together people, animals, households, community groups, campaigns and service interactions. The records sat in different systems.
Looking at each record separately made it difficult to see relationships, participation history, service interactions and the management insights that link them.
Solution
What OB360 delivered
- A canonical farmer identity to reconcile entities across source systems
- Entities for farmers, households, livestock, societies, campaigns, interactions and services
- Graph relationships and traversal queries across the farmer ecosystem
- Data integration adapters and a sync approach, starting with CRM sources
- SQL persistence alongside a Neo4j knowledge graph
- A graph API and query layer, with relationship-driven dashboards and admin experiences
Scope of this phase
This engagement is a knowledge graph solution: domain modeling, graph storage, relationship queries, APIs and supporting application views. The roadmap keeps this graph intelligence phase separate from later generative AI and predictive capabilities, so it should not be read as a chatbot or predictive AI deployment.
Outcome
Outcome
Teams can see how farmers, households, animals, societies, campaigns and services relate, instead of reading isolated records. Measured performance figures are not published for this engagement.
The project demonstrates graph-based business intelligence built on consistent identity and explicit relationships.
Capabilities
Capabilities demonstrated
- Knowledge graph
- Neo4j and Cypher
- PostgreSQL
- Python FastAPI
- React
- Source integration adapters
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