u/NarwhalTemporary8287

[ Removed by Reddit on account of violating the content policy. ]

Farmers often have useful data spread across lab PDFs, weather sites, field maps, and notes, but still have to piece everything together before deciding what to do next.

I built ZarSage to bring that information into one desktop workspace. A grower can map a field, upload a soil lab report, pull weather data for the exact location, and use it to assess fertilizer needs, spray windows, frost and heat risk, water balance, and field tasks.

The AI is there to help interpret the data, not replace an agronomist. It works from the farmer’s own field information and shows the reasoning and sources behind its recommendations.

The Windows version is now available on the Microsoft Store and is free to start. I’m the builder, and I’d genuinely appreciate feedback from farmers, agronomists, and others working on agricultural decision-support tools.

Curious how other independent agronomists are handling soil-lab → recommendation today. I find I'm still doing most of it manually — printing the lab PDF, pulling SoilGrids estimates from a separate tab, looking up reference ranges in old notebooks. Half my workweek is reconciliation.

A few specific questions for the group:

1. Do you keep a digital vault of every field's lab history, or just the latest report?
2. How do you cross-check single-point lab results against the broader regional/satellite estimates?
3. Anyone using AI tools to draft a first interpretation, or do you find them too generic?

Disclosure: I'm building a tool in this space (ZarSage AI — Mac-native, currently in private beta). Not pitching it here, just genuinely trying to understand how the workflow looks across operations of different sizes. Happy to share what I've learned if useful.