AI-Powered Agricultural Intelligence
Helping farmers make better decisions using AI, weather, soil and crop intelligence. Built to operate seamlessly under harsh sunlight and across regional dialects.
"We are building an AI-powered agricultural decision-support platform that helps farmers make personalized decisions based on their farm conditions."
By shifting agronomic intelligence from broad-brush regional bulletins to sub-acre precision calculations, Kisan AI shields smallholder livelihoods against climate shocks, volatile mandi rates, and crop-destroying pathogens.
Field-Level Personalization
Calibration tailored down to your specific soil mineral profile, slope angle, and crop sowing date.
Multilingual Voice-First
Zero complex typing required. Speak naturally in vernacular dialects including Marathi, Hindi, and English.
Hyperlocal Precision
Targeted microclimate forecasting delivering exact canopy temperature and dew point projections.
What We're Building
Four foundational pillars engineered to eradicate uncertainty across seed selection, disease intervention, and market timing.
1. Crop Recommendation Engine
Personalized crop recommendations synthesized from historical soil tests, seasonal weather projections, and geo-indexed field conditions.
2. Plant Disease Detection
Edge-optimized computer vision for instantaneous crop pathology identification straight from mobile snapshots.
Mancozeb 75 WP @ 2.5g/L water during low-wind morning window.
3. Weather Intelligence Platform
Farm-specific microclimate telemetry designed to eliminate guesswork around critical agricultural operations.
4. Multilingual AI Assistant
Interactive conversational agronomy delivered naturally in regional tongues. Trained on local vernacular terminology and mandi pricing slang.
Engineered for Harsh Real-World Farms
From multi-spectral satellite swarms to sub-second quantized edge models running inside rural cellular dead zones.
conversion_path End-to-End Telemetry Pipeline: Satellite to Soil
Earth Observation
Sentinel-2 & Landsat multispectral imagery captures NDVI, NDRE, and canopy moisture indices.
In-Situ IoT & Soil
Ground telemetry nodes ingest regional soil moisture, electrical conductivity, and nitrogen levels.
AI Inference Core
Edge-quantized Vision Transformers and regional agronomy LLMs evaluate risk matrices in real time.
On-Device Audio
Instant vernacular voice synthesized into regional dialect, playable offline without cellular lag.
Tested in the Orchards of Maharashtra
Real growers sharing quantitative outcomes across Dindori and Niphad agricultural belts.
"Last monsoon, bacterial blight began spreading through neighbouring orchards. Kisan AI alerted us 48 hours before humidity peaked and advised an exact copper bactericide schedule in Marathi. We protected 90% of our fruit harvest."
Eliminated unnecessary calendar spraying schedules.
Enhanced onion bulb sizing via NPK timing.
Per Quintal by waiting for favorable price cycle.
"I do not know how to type long English names of insecticides. Talking directly to the Kisan AI voice assistant in Marathi makes the application as natural as speaking with a seasoned village elder."
Let's Build Resilient Agriculture Together
Whether you are an agricultural researcher, FPO director, cooperative leader, or precision agronomy technologist, we would love to connect.
Request Field Pilot Brief
Receive telemetry specifications and pilot parameters for your district.