Avocado Orchard Digital Twin AI Application

Avocado Orchard Digital AI is an AI-powered command center for avocado growers, designed to turn geospatial data into actionable orchard intelligence. The application uses a Cesium globe to navigate avocado-producing regions in Michoacán, Mexico, scan municipalities for orchard parcel candidates, and visualize detected parcels with GPS boundaries, estimated hectares, tree counts, NDVI, stress levels, and confidence scores. The backend is built with FastAPI and supports orchard detection, PostgreSQL-based archive persistence, company orchard networks, financial impact analysis, and Vision/3D analysis. A live AMD MI300X vLLM endpoint running Qwen3-32B powers the AI advisor for natural-language commands, workflow guidance, and grower recommendations. Users can scan an area, save detected orchards to an archive, compare municipalities, analyze financial risk, generate analytics summaries, and create 3D digital twin views for selected orchard parcels. The goal is to help growers make faster, data-informed decisions about monitoring, irrigation, stress risk, production planning, and orchard management.