KrishiNetra — Smart AI Agritech & Crop Diagnostics Engine
"AI-powered crop health monitoring and satellite-based precision agriculture telemetry"
Overview
An advanced agritech web portal helping Indian farmers diagnose crop illnesses, analyze soil conditions, and inspect fields through real-time satellite spectral imagery (NDVI). Features computer vision models for immediate pest/disease classification and localized weather-market alerts.
Impact
Bridging the gap between agricultural science and local farming with real-time AI crop telemetry
Role
Full-Stack Developer & ML Engineer
Status
Ongoing Development
Key Features
- 1Real-time computer vision leaf disease diagnostics
- 2Multispectral satellite-based NDVI crop health mapping
- 3Real-time soil metrics telemetry (Moisture, NPK ratios)
- 4Live mandi pricing comparisons and smart crop advisories
- 5Multilingual voice guidance assistant for rural accessibility
- 6Cinematic agritech dashboard styled with harmonized green themes
Technology Stack
Detailed Overview
The Challenge
Smallholder farmers in India lack real-time scientific insights into crop health and soil quality, resulting in delayed treatments for diseases and inefficient fertilizer use. Standard diagnostic tools are often hard to access or do not factor in regional weather and market dynamics.
Our Solution
KrishiNetra (meaning "Agricultural Eye") combines computer vision with satellite telemetry to put precision farming directly into the hands of growers. By combining thermal/NDVI imaging with crop diagnostics, the system provides early disease warnings, real-time crop metrics, and actionable soil analytics.