AI Drone Multispectral Analytics & Precision AgriTech Platform
AI-driven agricultural data platform helping farmers and agribusiness partners predict outcomes and navigate planning decisions.
The Challenge & Business Constraints
Large gigapixel drone imagery files (GeoTIFF) caused severe browser lag during farmer portal uploads.
Complex NDVI (Normalized Difference Vegetation Index) calculations required heavy cloud computing costs.
Field agronomists in remote rural areas needed offline mobile access to field health heatmaps.
Engineered Solution & Technical Architecture
High-throughput tile-tiled image processing pipeline using Python FastAPI and WebAssembly.
Custom PyTorch computer vision models identifying weed clusters, irrigation leaks, and canopy pest infestations.
Next.js 15 Progressive Web App (PWA) with client-side indexedDB offline caching for field surveys.
Measurable Business Outcomes
94% precision in early crop disease detection before visible to human eye.
30% reduction in water and chemical fertilizer waste across 100,000+ monitored acres.
Real-time drone flight path telemetry and instant automated PDF agronomy reports.