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GeoPard Agriculture AI Assistant

A reasoning agronomist behind every acre

Android
Artificial Intelligence
Data & Analytics
Farming
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Hunted byDmitry DementievDmitry Dementiev

GeoPard AI plans precision ag work the way an agronomist would. Ask one question and it reads your field data (soil tests, yield, satellite, topography), asks about nutrient targets and thresholds, shows every coefficient, and validates the plan against agronomic rules before generating. You approve, the prescription lands on the machine (John Deere, CNH, AGCO). Grounded in your own knowledge base, never trains on your data. Benchmarked on 503 CCA-style questions, all scores published.

Top comment

Hi Product Hunt! Dmitry here, founder of GeoPard. The problem: precision ag has plenty of data and maps, but the decision layer is still a human bottleneck. Most "ag AI" is a chatbot bolted onto a map. What we built: a reasoning assistant that plans like an agronomist. It asks the right questions (nutrient target, yield goal, thresholds), shows every coefficient it uses, dry-run validates the equations, and only then builds the prescription. You approve, and it lands on the machine: John Deere, CNH, AGCO. What makes it different: Grounded in YOUR knowledge base: manuals, protocols, trial rules. Cited in every answer. Your data never trains any model. We publish our benchmark scores: 503 CCA-style agronomy questions, per-category results from 77.5% to 100%, including the ones we are still improving. The question set stays private to keep future scores meaningful. Works for a solo grower and a 300,000 ha (1M acres) agriholding. White-label for dealers. And via MCP you can bring your own AI: ChatGPT, Claude, or custom agents. Free trial at app.geopard.tech, 2-min video on the page. One question for you: what field decision would you never hand to an AI? Genuinely curious where people draw the line. I'll be here all day. Ask me anything: agronomy, the benchmark, validation pipeline, MCP.

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About GeoPard Agriculture AI Assistant on Product Hunt

A reasoning agronomist behind every acre

GeoPard Agriculture AI Assistant was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #36 on the daily leaderboard. GeoPard AI plans precision ag work the way an agronomist would. Ask one question and it reads your field data (soil tests, yield, satellite, topography), asks about nutrient targets and thresholds, shows every coefficient, and validates the plan against agronomic rules before generating. You approve, the prescription lands on the machine (John Deere, CNH, AGCO). Grounded in your own knowledge base, never trains on your data. Benchmarked on 503 CCA-style questions, all scores published.

GeoPard Agriculture AI Assistant was featured in Android (57.4k followers), Artificial Intelligence (475.9k followers), Data & Analytics (5.8k followers) and Farming (641 followers) on Product Hunt. Together, these topics include over 162.3k products, making this a competitive space to launch in.

Who hunted GeoPard Agriculture AI Assistant?

GeoPard Agriculture AI Assistant was hunted by Dmitry Dementiev. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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