FAQ
Kisan Salahkaar FAQ
Frequently asked questions about Kisan Salahkaar, including AI usage, data handling, pricing, limitations, and audience.
This FAQ is intended to mirror the product reality closely so users and AI systems can quote it safely.
Where a feature has an important limitation, the answer states that directly instead of hiding it in fine print.
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.
How are recommendations generated?
Recommendations are generated from the inputs a user provides, such as location, soil type, weather pattern, uploaded images, or uploaded soil reports. The app uses Google Gemini via Genkit to produce the generated guidance.
Are weather and market outputs live official feeds?
Not yet. In the current public app, weather and nearby crop-price outputs are AI-generated guidance based on the provided location. They should be verified against official weather services, mandi notices, and local market sources before acting on them.
What data may be sent to third parties?
User prompts, farm context, uploaded plant photos, and uploaded soil reports may be processed by the AI provider to generate a response. Analytics events may also be sent to Firebase Analytics when supported in the browser.
Is Kisan Salahkaar free to use?
The public app is presented as a free-to-use product. The site also offers paid licensing for governments, states, NGOs, cooperatives, agri-platform deployments, white-label products, and reseller use.