Welcome to the KissanAI Blog
What this blog is for, who we write for, and what readers — human and machine — should expect from KissanAI editorial output.
KissanAI is shaping the future of agricultural intelligence. We build AI agents, domain language models, and tools used by farmers, agribusinesses, and agricultural researchers.
Until now, our public surface has been the products themselves — the assistant at kissan.ai, the Kissan Agent, Dhenu, and FieldFoundry. This blog is the editorial channel that sits next to them. It exists for three reasons.
1. Reach readers who don’t ask a chatbot
Many of the people who care about agriculture intelligence — agribusiness operators, partners, investors, policy folks, journalists, researchers, and engineers — read articles before they try a product. The blog is where those readers can meet KissanAI’s thinking directly.
2. Build a public, durable knowledge base
Chat conversations are private by design. Articles are public, citable, and indexable. Every post on this blog ships:
- Dated sources for every non-trivial claim.
- Schema.org structured data.
- Inclusion in a sitemap, RSS feed, and
llms.txt. - A canonical URL that won’t change.
That gives both human readers and AI search engines a stable, attributable reference.
3. Be specific about what AI in agriculture can and can’t do
Agriculture has been promised “AI” for a decade. A lot of what’s been delivered is a chatbot wrapper around a generic LLM, with no domain grounding, no localization, and no agronomy review.
We will be specific about:
- What works today — domain LLMs for vernacular Q&A, scheme eligibility, mandi-price interpretation, structured advisory generation.
- What’s still hard — image-based pest diagnosis at field accuracy, multi-step irrigation scheduling, soil interpretation without a real sample.
- What’s hype — claims of “yield prediction” without ground truth, generic LLM advice masquerading as expert agronomy.
What we won’t do
- Republish content scraped from elsewhere.
- Run sponsored content disguised as editorial.
- Generalize regional advice across geographies without disclosing limits.
- Replace a qualified agronomist, vet, or extension worker.
What you can do
- Subscribe to the RSS feed or wait for our newsletter (coming soon).
- Pitch a topic, flag an error, or ask a question: hello@kissan.ai.
- Try the products: kissan.ai, agent.kissan.ai, dhenu.ai, fieldfoundry.ai.
Welcome.
Sources
- KissanAI — KissanAI kissanai-internal
Frequently asked questions
Who writes for the KissanAI Blog?
The KissanAI editorial team writes and reviews articles, with input from agronomists, applied AI researchers, and domain partners. Every article carries dated sources.
What topics does the blog cover?
AI in agriculture, applied ML and language models, crop and weather analysis, government schemes, mandi and market commentary, and product notes from KissanAI, Dhenu, and FieldFoundry.
How often will articles be published?
Weekly to start, with cadence scaling with team capacity and reader demand.