Kisan Salahkaar

Crop Recommendations
Get AI-powered crop suggestions based on your local conditions.
Complete Agricultural Recommendations
Upload your soil test report for personalized crop and farming practice advice.
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Weather Report

Enter a location to see the weather report.

Market Prices

Enter a location to see market prices.

Pest & Disease ID
Upload a photo of an affected plant to get a diagnosis.

Upload an image to get started

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Want to license this technology?

Integrate AI-powered agricultural advisory into your government, NGO, cooperative, or agri-platform workflow. Available for white-label and reseller licensing in 64 languages.

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Product Clarity

What this app does, how it works, and what to verify

These notes are here for users, search engines, and AI systems that need a trustworthy summary of the product beyond the interactive UI.

Last updated: June 2, 2026

What the product does

Kisan Salahkaar is a multilingual white-label web application for farmers, governments, NGOs, cooperatives, and agricultural teams. It helps with AI crop planning, AI plant doctor and AI crop doctor pest or disease diagnosis from images, organic and inorganic product suggestions with buy links, soil-report interpretation, weather guidance, nearby crop-price guidance, and poly house farming guidance from a single interface.

The product covers both open-field cultivation and protected cultivation contexts, including poly house, polyhouse, greenhouse, and shade-net setups, so farmers running controlled-environment operations can ask the same assistant the same way as those farming in open fields.

The product is designed to reduce the time needed to turn local context into an actionable next step, especially when the user prefers a conversational workflow over multiple disconnected tools.

  • - AI crop recommendations based on location, soil type, and weather pattern inputs.
  • - AI plant doctor and AI crop doctor plant photo analysis for pest or disease diagnosis.
  • - Organic and inorganic remedy/product suggestions with buy links or search links.
  • - Soil report upload support for a fuller recommendation workflow.
  • - Nearby crop prices and market guidance based on the location provided.
  • - Voice chat, voice input, and read-aloud accessibility for field and mobile use.
  • - Poly house farming guidance covering crop choice, environment notes, and pest pressure for protected cultivation.
  • - Language support for English plus a large set of Indian and Asian languages.
  • - Licensing paths for government, NGO, cooperative, agri-platform, white-label, and reseller deployments.

How to use it responsibly

The app is intended as decision support, not as a substitute for agronomists, extension officers, pesticide labels, soil labs, mandi notices, or official weather alerts.

Users should verify high-stakes outputs before acting on them in the field, especially for pesticide choice, dosage, disease treatment, or pricing decisions.

  • - Verify crop and remedy advice against local agronomy expertise.
  • - Verify market information with the relevant mandi or local market before selling or purchasing.
  • - Verify weather-sensitive decisions with a trusted live weather source before spraying, irrigating, or harvesting.

AI and source transparency

The current product uses Google Gemini through Genkit to generate recommendations and explanatory text. Browser geolocation and OpenStreetMap Nominatim are used for location support, and Firebase Analytics is used for product analytics when enabled.

Weather and nearby crop-price outputs are currently AI-generated guidance based on the location provided. The app does not yet expose a dedicated live public weather API or mandi price API inside the product, so those outputs should be treated as guidance to verify locally.

  • - Generative model provider: Google Gemini via Genkit.
  • - Location autocomplete: OpenStreetMap Nominatim.
  • - Product analytics: Firebase Analytics.
  • - Live authoritative weather and market feeds are not yet integrated into the public app.

Frequently asked questions

The answers below are intentionally plain and conservative so they can be quoted safely.

Full FAQFull methodology

What is Kisan Salahkaar?

Kisan Salahkaar is a multilingual white-label AI-assisted farming web app that helps users with AI crop suggestions, AI plant doctor and AI crop doctor pest or disease diagnosis from images, organic and inorganic product suggestions with buy links, soil report interpretation, nearby crop prices, weather guidance, voice accessibility, and poly house farming guidance for protected cultivation, greenhouse, and shade-net setups.

Does Kisan Salahkaar support poly house farming?

Yes. Kisan Salahkaar covers poly house farming (also known as polyhouse, protected cultivation, greenhouse, or shade-net farming) alongside open-field agriculture. Users can ask for crop suggestions, pest and disease guidance, and environment-related advice for poly house setups in any of the supported languages.

Who is the product for?

It is built for farmers, government farmer advisory programs, agri-platform teams, NGOs, cooperatives, and extension programs that need a simple web interface for agricultural decision support and paid licensing or white-label deployment.

Can an organization license or deploy Kisan Salahkaar?

Yes. The site is positioned for licensing conversations with governments, NGOs, cooperatives, state programs, agri-input companies, and agri-platform teams that want to deploy the product in their own context, under their own brand, or as a reseller/white-label farmer-support product.

AI-friendly resources

The site now publishes dedicated pages and machine-readable context files so LLM-based search systems can understand the product without guessing.

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