AgriSense — a sensing layer we're designing for the field
A planned IoT and AI monitoring fabric for soil, irrigation, and microclimate — being designed to turn the conditions in a field into signals a farmer can act on.
Overview
AgriSense is a planned product on the AGRIVISION AI roadmap — an IoT and AI sensing layer that we intend to lay across the farm like a nervous system. The vision is a fabric of low-cost sensors reading soil moisture, temperature, salinity, irrigation flow, and microclimate, streaming back to a single view that helps farmers and agronomists understand what's actually happening in the ground.
Most farm decisions today are made on intuition and the occasional spot check. We're designing AgriSense to close that gap — to give every plot a continuous, honest signal, and to let AI turn that telemetry into early warnings and concrete next steps. The intent is intelligence that reaches the parts of the field a person can't walk every day.
To be clear about where this stands: AgriSense is not yet built. It is planned and in active design as part of our product family, alongside our flagship YieldAI Global. What follows describes the capabilities we intend to build, not features that exist today.
Capabilities
Sensor fabric
Designed to be a mesh of affordable, rugged sensors spanning soil moisture, temperature, salinity, and microclimate — built to blanket a field without blanketing a budget.
Real-time telemetry
Will stream live readings from across every plot into one continuous view, so the state of the field becomes something to watch rather than something to guess at.
Microclimate intelligence
Planned to model the small, local differences — frost pockets, dry corners, humid rows — that field-wide forecasts miss, and to flag risk early.
Edge automation
Designed to run inference at the edge and trigger actions like irrigation adjustments locally, so the system keeps working even where connectivity is thin.
Irrigation insight
Will pair soil-moisture and flow data with AI to suggest where and when to water — aiming to cut waste while protecting the crop.
One field view
Planned to feed the wider AGRIVISION AI fabric, so AgriSense readings can inform crop advisory and yield models in one connected picture of the farm.
Built for
Farmers
Growers who want continuous eyes on soil and water across every plot — designed to surface problems early instead of after the damage is done.
Agronomists & extension workers
Advisors who need ground-truth telemetry to back their guidance, planned to make field conditions measurable rather than anecdotal.
Cooperatives & agribusinesses
Organizations managing many fields at once, for whom a shared sensing layer is intended to standardize how conditions are monitored across sites.
Roadmap
- 1Phase 1 — Define the sensor fabric: target hardware, the soil, water, and microclimate signals to capture, and a low-cost, rugged reference design.
- 2Phase 2 — Build the telemetry pipeline: reliable ingestion of real-time readings into a single field view, designed to hold up in low-connectivity environments.
- 3Phase 3 — Develop microclimate intelligence: AI models that interpret local conditions and turn raw readings into early warnings and recommendations.
- 4Phase 4 — Add edge automation: on-device inference and local triggers, such as irrigation adjustments, that work even when the network doesn't.
- 5Phase 5 — Integrate with the AGRIVISION AI fabric so AgriSense data informs crop advisory and yield prediction, then open early-access field pilots.
Frequently asked
Is AgriSense available today?
No. AgriSense is a planned product on our roadmap and is not yet built. There is no hardware to buy, no app to use, and no live deployments. We're sharing the vision and intended capabilities early; we'll be honest at every step about when any of it is ready to try.
What exactly is AgriSense meant to do?
It's designed to be an IoT and AI sensing layer for the farm — a fabric of sensors reading soil, irrigation, and microclimate, with real-time telemetry and edge automation. The goal is to turn field conditions into clear signals and early warnings. These are intended capabilities, not features that exist yet.
Will AgriSense require internet on the farm?
We're designing it to work in low-connectivity settings. The plan is to run inference at the edge so core monitoring and automation keep functioning even when the network is intermittent. Final connectivity requirements will be determined as we build and pilot the hardware.
How does AgriSense relate to AGRIVISION AI's other products?
AgriSense is one product in a family being built on a shared AI fabric. It's planned to feed telemetry into the broader platform — including our flagship YieldAI Global — so sensing data can inform crop advisory and yield models. The integrated experience is part of the roadmap, not something available now. To follow progress or join future field pilots, reach out through agrivisionai.org.
Want to help shape AgriSense?
We’re an early-stage, founder-led company building in the open. If you’re a farmer, agronomist, cooperative, or partner, we’d love your input.
Talk to the team