Ingest your weather
Station and forecast data for every block, continuously — the raw signal disease pressure is built from.
Vineyard disease intelligence · California
Predict the spray. Not the loss.
AgriOS combines weather intelligence with the UC Davis Gubler-Thomas disease model to give every block a Spray, Watch, or Hold call — and the science behind it.
Most ag software tells you what already happened. AgriOS tells you what happens next.
WeatherPredictionRecommendationDecision
How it works
Weather in. A defensible spray call out.
Five steps, all running on the data and records you already have. No drones, no satellites, no new hardware.
Run the disease model
The UC Davis / Gubler-Thomas Powdery Mildew Risk Index turns that weather into real disease pressure — per block, not per region.
Score every block
Pressure, crop stage, spray history, and label limits (FRAC, REI, PHI) combine into one risk picture per block.
Get a call that explains itself
Spray, Watch, or Hold — with the agronomic rule behind it, its confidence, and a flag when the evidence is thin.
Your PCA reviews and signs
Every call is theirs to confirm or modify. AgriOS is the picture between visits, never a replacement for the expert.
What we predict
One decision, predicted deeply.
We don’t predict ten things shallowly. We predict the one that costs you the most — block-level powdery mildew pressure — and we show our work.
The science
Built on the science your PCA already trusts.
AgriOS isn’t a black box with a logo on it. It runs on published UC disease science — and every recommendation shows its work. The science isn’t a feature. It’s the moat.
Gubler-Thomas Index
The UC Davis powdery mildew risk model — the standard your PCA already knows — converts weather into block-level pressure.
Grounded in UC IPM
Every recommendation cites published UC IPM guidance and the label limits (FRAC, REI, PHI) that constrain the spray.
Not a black box
Each call names the rule behind it and its confidence. Transparent rules today; calibrated to your blocks as outcomes accumulate.
Proof, not promises
We keep score. Per block. Out loud.
Every call is logged with its inputs, reasoning, and citations, reviewed by your PCA, and checked against what actually happened — avoided sprays, caught pressure, and the misses. One season scoreboard you can defend to an owner.
Where AgriOS sits
Next to your stack — not on top of it.
Other tools report the past. AgriOS predicts what’s coming and improves the call.
| Tool | What it does | What it can’t do | AgriOS |
|---|---|---|---|
| Weather apps | Predict the weather | Don't convert it to disease risk on your block | Runs weather through Gubler-Thomas → block-level pressure |
| Scouting apps | Record what you saw | Don't tell you what's coming | Predicts pressure before symptoms, ranks every block |
| Spray-records software | Prove what you did | Don't improve the next call | Makes the call, cites the rule, logs the outcome |
| Farm-management platforms | Track operations | Don't improve decisions | Improves the one decision that costs the most |
| Your PCA | Expert judgment, in person | Can't be on every block every week | The same block-level picture between visits — PCA stays central |
AgriOS Research Lab
Applied agricultural intelligence.
We publish what we’re testing, what’s working, and what isn’t — with honest status, never invented results. This is where computer vision, irrigation, and sustainability live today: as research.
Disease prediction & calibration
- Question
- How closely does modeled pressure track real outcomes, block by block?
- Approach
- Served rules (pm-rules v1.0) run against a shadow v1.1, calibrated against PCA-confirmed outcomes.
Computer vision for canopy disease
- Question
- Can image-based grading confirm and sharpen the model?
- Approach
- Expert/PCA-labeled central-coast imagery, evaluated shadow-only before it affects any live call.
Irrigation forecasting
- Question
- Can block-level vineyard water demand be predicted usefully?
- Approach
- Exploratory research — not a product, and not presented as a feature anywhere on this site.
Sustainability measurement
- Question
- How do we honestly quantify the sprays and inputs avoided?
- Approach
- Per-block avoided-pass tracking tied to real outcomes, not modeled marketing math.
Where AgriOS is going
Disease first. We earn each next decision before we claim it.
Powdery mildew is the wedge, not the ceiling — one intelligence layer for the decisions a vineyard team makes all season.
Disease intelligence
Powdery mildew Spray / Watch / Hold for every block.
Computer vision
Image-based canopy confirmation of disease pressure.
AI agronomist
Conversational, cited decision support on top of the model.
Irrigation forecasting
Block-level water-demand prediction.
Sustainability intelligence
Measured environmental impact across the season.
Who’s building this
Christopher Hamel — Cal Poly computer science, building from California’s central coast.
AgriOS started with a question I kept hearing from growers and PCAs around San Luis Obispo and Paso Robles: “I know I’m overspraying — I just don’t know which passes to skip.” That gap — between the decision a grower has to make every week and the evidence they have to make it with — is what AgriOS exists to close. I’m building it in conversation with central-coast growers and PCAs, and grounded in the published plant-pathology research I study at Cal Poly.
Pilot program
Design partners wanted — California vineyard powdery mildew pilots.
Get a season-long scoreboard — calls made, sprays avoided, misses counted, outcomes reviewed block by block — and shape the product and the pricing before anyone else. The waitlist is free.
Real objections, answered honestly
Questions growers and PCAs ask before they say yes.
Is this drones or satellite imagery?
No — and it never will be. AgriOS predicts from weather, the disease model, and the records you already keep. No new hardware to install.
Does AgriOS analyze my vineyard photos?
Not yet. Image-based canopy grading is active research, clearly marked on our roadmap. We won't claim it as a feature until it's real and validated against expert labels.
Does it replace my PCA or agronomist?
No. AgriOS is the block-level picture between visits; your PCA confirms or modifies every call and stays central to the decision.
Which crop and disease?
California wine grapes, powdery mildew. We are deliberately narrow on the first decision before we extend.
What does it cost?
The pilot waitlist is free. Early partners help shape the product and the pricing. When we charge, we expect to be in the range of a single avoided spray per block per season — not per acre.