Natural Telugu Voice
Full voice interaction — speak in Telugu, hear the answer in Telugu. No typing, no reading, no UI navigation. Designed for farmers who are comfortable with voice calls, not smartphones.
AgriTech · Voice AI · Telugu
నాగన్న — Telugu voice AI for farmers
A farmer speaks. Naaganna listens, reasons, and responds — in Telugu, instantly, with advice grounded in real agricultural science.
Agricultural extension officers cover too many farmers. KCC helplines have wait times. WhatsApp groups carry misinformation as readily as good advice. The farmer with a dying crop can't always find someone who knows what to do.
Most agri-tech apps assume the farmer can read, type, and navigate a UI. Many farmers in Telangana and Andhra Pradesh are comfortable with a phone call, not a search bar.
General-purpose AI assistants don't understand local crop varieties, regional pest patterns, mandal-level weather, or ICAR and NIPHM recommendations. They give answers that sound right but aren't.
Built on a foundation of Indian agricultural science — not the open internet
No typing, no menus, no literacy required. The farmer describes their problem in natural spoken Telugu — the way they would to a knowledgeable neighbour.
The system captures the farmer's location — district, mandal, village — and crop context to give advice that's relevant to their specific conditions, not generic guidance.
Answers are generated by reasoning over 5,000+ curated knowledge chunks from ICAR and NIPHM — India's primary agricultural research bodies. Not the open web. Not generic AI.
The answer comes back as natural Telugu speech. The farmer hears it, understands it, and can act on it — no reading, no translation required.
If the farmer photographs a diseased leaf or an unknown pest, Naaganna analyses the image and incorporates the visual evidence into its advisory response.
Full voice interaction — speak in Telugu, hear the answer in Telugu. No typing, no reading, no UI navigation. Designed for farmers who are comfortable with voice calls, not smartphones.
Grounded in 5,000+ curated knowledge chunks from ICAR and NIPHM — covering crop varieties, pest management, disease identification, soil health, and seasonal advisory for Indian conditions.
Captures district, mandal, and village to give advice that accounts for local crop patterns, regional pest pressure, and area-specific farming practices.
Farmers can photograph a problem and get a visual analysis alongside the voice advisory — making diagnosis faster and more accurate than description alone.
Every farmer session is logged with crop, location, query, and advisory given — building a dataset of real farmer needs that improves the system over time.
Naaganna is deployed through a partnership model — working with agricultural extension bodies, FPOs, and agri-input companies to ensure it reaches the right farmers with the right support.
Interested in Naaganna for your farmers, organisation, or network? Tell us about your use case and we'll get back to you within two business days.