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Agros Systems
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Agros sits on top of the tools you already use. Voice agents give your crew instant answers from the field. Autonomous agents monitor your operation around the clock. Your spreadsheets, your John Deere, your sensors — nothing gets replaced. Everything gets connected.
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Agros Systems
The agentic OS for agriculture.
Agros sits on top of the tools you already use. Voice agents give your crew instant answers from the field. Autonomous agents monitor your operation around the clock. Your spreadsheets, your John Deere, your sensors — nothing gets replaced. Everything gets connected.
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Keep your existing tools
Agros connects to what you already use. No migration, no rip-and-replace. Your data stays where it is — agents read from it and write back to it.
GSGoogle Sheets
ATAirtable
CSVCSV / Excel
JDJohn Deere
FVFieldView
AWAgWorld
What You Can Say
Workers in the field, any phone, English or Spanish
Ask
- "What are my tasks for today?"
- "What's the soil moisture in block 3?"
- "What's the re-entry interval for this spray?"
Update
- "I see aphid damage on the lower canopy in the east field, moderate pressure."
- "Log that we finished irrigation on block 7."
Why Agros Systems
Nothing gets replaced
Agros is a layer on top of what you already run. Your John Deere, your spreadsheets, your weather station, your soil probes — they all stay. Agents read from them and write back to them. You get intelligence without migration.
Workers get answers without waiting on a supervisor
Your crew calls a number from any phone, asks what they need in English or Spanish, and gets guidance from your protocols and records in seconds. No smartphone. No app. No training.
Predicts what's coming using real science
Growing degree-day models calculate harvest timing and pest pressure from real weather data. Accumulated heat units against published thresholds, updated daily. The math runs in the background — your team just asks.
Forecasts pest pressure before you see damage
Degree-day pest models track lifecycle stages and predict critical windows. You get spray timing recommendations based on insect biology and your live field data, not calendar dates.
Monitors your operation when no one is looking
Satellite imagery, soil moisture probes, and scouting data feed an autonomous agent that watches for NDVI drops, irrigation needs, and harvest milestones. When something needs attention, your supervisor gets a text.
Every call makes the system smarter
Scouting reports, activity logs, and crew observations are analyzed after every call to extract pest trends, growth stage changes, and operational patterns. Your operation builds a knowledge base from every conversation.
Common Questions
No. That's the whole point. Agros sits on top of what you already use — John Deere, FieldView, Google Sheets, Airtable, your weather station, your soil probes. Agents connect to your existing tools, read from them, and write back to them. Nothing gets migrated, nothing gets replaced.
An operating system connects hardware and applications so they work together. Agros does the same thing for your farm: it connects your field data, sensors, equipment platforms, and crew into one intelligent layer. Your team talks to it by phone. Autonomous agents monitor everything in the background. The OS orchestrates — your tools stay where they are.
Every call is analyzed automatically. An AI extracts structured insights (pest sightings, growth stage observations, irrigation decisions, equipment issues) and stores them. The alert generator then checks for NDVI drops, overdue tasks, harvest milestones, and pest thresholds. Critical alerts are texted to the supervisor. Your farm builds a knowledge base from every conversation.
It monitors and alerts, but never assigns tasks without a human. Every 6 hours, the autonomous agent checks satellite health, sensor readings, task deadlines, and scouting data across all fields. When something needs attention, it sends an SMS to the supervisor with a recommendation. The supervisor decides what to do.
John Deere Operations Center, Climate FieldView, Google Sheets, Airtable, CSV/Excel files, and any IoT device that can POST JSON to a webhook (soil moisture probes, weather stations, flow meters, dendrometers, leaf wetness sensors). Plus Sentinel-2 satellite imagery for NDVI and Open-Meteo for weather data.
Yes. Workers ask in Spanish, get answers in Spanish. Supervisors call in English. Scouting observations are logged in whichever language the worker uses. No separate setup.
No. Workers use any phone. Supervisors get SMS alerts and a web dashboard. No apps, no passwords, no training. The phone call is the interface.