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AgriGraph AI

Python MIT Tests

Overview

AgriGraph AI transforms disconnected agricultural datasets into a knowledge graph that reveals relationships between farms, weather, soil conditions, crop performance and markets.

Instead of viewing agricultural information as isolated spreadsheets, AgriGraph models agriculture as an interconnected intelligence network.


Features

✓ Merge multiple agricultural datasets

✓ Build a relationship graph

✓ Calculate farm intelligence scores

✓ Identify high risk farms

✓ Visualize agricultural networks

✓ Export interactive graphs


Example

python examples/build_network.py

Output

Farm A Intelligence Score : 0.82 Risk Level : Low

Farm B Intelligence Score : 0.43 Risk Level : High


Architecture

Weather ↓

Soil ↓

Market ↓

Farm Records

Knowledge Graph

Intelligence Engine

Recommendations


Installation

pip install -r requirements.txt


Quick Start

from agrigraph.graph_builder import build_graph

graph = build_graph(...)


Tests

pytest


Future Roadmap

Spatial Analysis

LLM Recommendations

Real Time Weather APIs

Satellite Integration

Crop Prediction

About

AgriGraph AI transforms disconnected agricultural datasets into a knowledge graph that reveals relationships between farms, weather, soil conditions, crop performance and markets.

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