Conceptual aerial landscape of agricultural fields at dawn

Sample demo · synthetic dataPrairie beta · Planned 2027–28

Know which field to check next — and why.

AgriNova AI is developing a satellite-first workflow that brings satellite observations, weather context and your field notes together into one explainable field score and a short list of fields worth checking. Try it on a sample Prairie farm.

Product in development. The demo uses synthetic data. Canadian validation is planned.

Try the field demo Plan a pilot evaluation

Sample field review

Sample · synthetic data

North Field · Wheat

64/100AMI

Down 11 points since June 5

Observed June 12 (sample season)

Why this field?

North Field has the largest score change of the three fields.

Open in the full demo

Conceptual agricultural imagery

How to read this page

Sample demo with synthetic data: the field review, the decision trail and the guided demo on the platform page show three sample fields, not a real farm.
Synthetic example. Not a farm assessment.
Fixed example responses. No live farm connection or AI analysis.
Proposed workflow. Availability and supported crops will be confirmed for each demonstration or pilot.

Crops, provinces and background

Crops: Wheat
Canola
Barley
Planned beta provinces: Saskatchewan
Alberta
Manitoba

Company-reported · Iran · 2021 · NDVI · not a controlled trial
Historical field studies: Iran, 2021 — company-reported observations
Five founders
Names and roles of the team developing AgriNova AI.
Planned · 2027–28
Planned Prairie beta: 2027–28
Canadian validation on Prairie farms; timing and participation remain subject to confirmation.

01Decision trail

From a score change to a field record

One sample field, four steps: what the planned product would show, then what you would do and keep after a field visit.

Sample · synthetic data

01 · Signal · Score card
North Field fell 11 points between June 5 and June 12
AMI 75 on June 5, 64 on June 12.
Open in the full demo
02 · Context · Evidence card
What the score rests on
Image observed June 12 (sample season).
Cloud 5% · usable area 95%.
Cause not established.
See the evidence behind a score
03 · Field check · Task
Compare the north-east corner with the south half
A comparison to make on the next field visit, not a diagnosis.
Plan the field check
04 · Record · Note
“No visible difference” is a valid entry
A field check that finds nothing still goes on the record.
Record what you find

Planned, not part of this sample

PlannedAn alert would arrive when a score drops.
PlannedYour agronomist would see the same view.

02Why evaluate AgriNova

Three things the planned product would do, and how each would be tested

Research
Fields ranked, reasons shown
Score first, layers one click away.
A map shows where a field looks different; this view would put dated scores and a ranked list of all three fields beside the map and show the evidence behind each.
How this would be tested: In a blinded task, can a grower pick the field to check and say why?
Available on this website · here on sample data
Evidence you can inspect
The image date, cloud state and usable area behind every score, and which input families the score would combine.
Input values are planned for real fields; the sample fields on this website have none.
See the evidence behind a score
How this would be tested: Does every score in the beta show its image date and quality?
Planned
Your agronomist sees the same view
A grower and their agronomist would look at the same scores, evidence and field notes.
How this would be tested: How long does preparing a scouting visit take, with and without the shared view?

03Evidence and examples

What has been observed so far, and how a Canadian result would be reported

Company-reported · Iran · 2021 · NDVI · not a controlled trial
Historical field studies
Two studies from Iran in 2021, on maize and barley: changes seen in NDVI imagery, followed by checks in the field. Observations only, with no outcome figures, no control plot and no Canadian evidence.
Read the field studies
How Canadian results would be reported
No Canadian result is reported yet. The reporting page lists the records a Canadian case would need first, from farm consent and a baseline to calibrated harvest records and every extra cost.
How we will report Canadian results

04Value preview

What a field-monitoring service would need to be worth

A worked example on a sample farm with published Saskatchewan yields and prices. Change the area or the yield change to see the most a field-monitoring service could cost per acre per year for these numbers to pay.

Sample · Illustrative calculation — your inputs

The sample farm

Total area

Your input

Half canola, half spring wheat: 320 ac of canola and 320 ac of spring wheat.

Assumed yield change

Your input

Example setting: a small illustrative +0.5% yield change. It is not an AgriNova estimate or result; set it to 0% or any value.

Result at this setting

At this setting, the most the service could cost for these numbers to pay is about $1.43 per acre per year. Calculated

That is about $3.53 per hectare per year. Calculated

The break-even subscription is a threshold, not a price. AgriNova has not confirmed public pricing.

Value of that yield change after handling costs: $1,514.38 Calculated

Each 1% yield change on this farm is worth about $4.73 per acre per year after handling costs. Calculated

Break-even subscription at four yield changes, for the area you entered Calculated
Yield change	Value of the yield change after handling costs	Break-even subscription, per acre per year
0%	$0.00	about −$0.94 (no subscription would pay)
+0.5% (example setting)	$1,514.38	about $1.43
+1%	$3,028.77	about $3.79
+2%	$6,057.54	about $8.53

The two entries change the results only with JavaScript, which is off in this browser. Here is the example farm at the published yields and prices and the two scenario assumptions: 640 ac, half canola and half spring wheat, at four yield changes.

Example farm, 640 ac Calculated
Yield change	Value of the yield change after handling costs	Break-even subscription, per acre per year
0%	$0.00	about −$0.94 (no subscription would pay)
+0.5% (example setting)	$1,514.38	about $1.43
+1%	$3,028.77	about $3.79
+2%	$6,057.54	about $8.53

Work out what the service would need to be worth

Fixed in this example

Yields: canola 45.2 bu/ac (≈ 2.53 t/ha), spring wheat 57.3 bu/ac (≈ 3.85 t/ha)Published figureSaskatchewan 2025 average (Statistics Canada, revised; accessed 2026-10-04)t/ha at standard bushel weights
Prices: canola $13.20/bu, spring wheat $7.00/buPublished figureSask. Crop Planning Guide 2026
Extra harvest and handling cost: $0.50 per extra bushelScenario assumption
Setup, onboarding and evaluation (your time, advice): $600Scenario assumption

Sources and method

Saskatchewan 2025 average (Statistics Canada, revised; accessed 2026-10-04)

What it is: Published figures: Average yield (bushels per acre), Saskatchewan 2025, revised: canola (rapeseed) 45.2; wheat, spring 57.3; barley 78.2 (all barley: the table has no feed-barley series).
Source: Statistics Canada, Table 32-10-0359-01, Estimated areas, yield, production, average farm price and total farm value of principal field crops, in metric and imperial units. https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210035901 (read 2026-10-04)
Who measured: Statistics Canada
Where / when: Saskatchewan, 2025 crop year, average yield in bushels per acre (revised)
Sample size or area: Not available
Baseline / method: As published; used here as a default you can change.
Known limits: A provincial average for one crop year, not your yield. The table also holds in-season estimates for 2026; this calculator uses the revised 2025 averages.
Last reviewed: 2026-10-04

Sask. Crop Planning Guide 2026

What it is: Published figures: Estimated farm gate price ($/bu.), 2026: canola 13.20; hard red spring wheat 7.00; feed barley 5.03.
Source: Government of Saskatchewan, Ministry of Agriculture, Crop Planning Guide 2026. https://publications.saskatchewan.ca/api/v1/products/127932/formats/153137/download (read 2026-10-04)
Who measured: Government of Saskatchewan, Ministry of Agriculture
Where / when: Saskatchewan, 2026 planning prices, all three soil zones
Sample size or area: Not available
Baseline / method: As published; used here as a default you can change.
Known limits: A 2026 planning price: the guide uses the average crop-year farm-gate price. It is not a market quote or a price you will receive; the guide asks producers to check current prices.
Last reviewed: 2026-10-04

Alberta Agriculture Statistics Yearbook 2020

What it is: Published conversion factors: One bushel = 0.02268 tonne of canola, 0.027216 tonne of wheat and 0.021773 tonne of barley, that is 50, 60 and 48 lb per bushel.
Source: Government of Alberta, Alberta Agriculture Statistics Yearbook 2020 (46th edition), Weight Equivalents of Selected Commodities. https://open.alberta.ca/dataset/da3573a5-465c-4dc1-8793-36e9dc02b775/resource/68350a33-6224-4f1a-93f1-894cc10c2c75/download/afred-itrb-agriculture-statistics-yearbook-2020.pdf (read 2026-10-04)
Who measured: Government of Alberta
Where / when: Statistical conversion factors (p. 3)
Sample size or area: Not available
Baseline / method: As published; used only to show tonnes per hectare beside the yields.
Known limits: Conversion conventions, not measured test weights. Used only for the tonnes-per-hectare equivalents shown beside the yields.
Last reviewed: 2026-10-04

The handling cost and the setup are editable assumptions with no external source; change them, and every other cost and saving, in the full calculator.

Method: value of the yield change = yield change × the sum over both crops of area × yield × (price − handling cost per extra bushel); break-even subscription = (that value − setup) ÷ total acres. Numbers are kept at full precision and rounded once for display; a break-even is a threshold, so it reads "about".

05Who it's for

Who AgriNova AI is for, and the planned path to Canada

Growers
A clearer starting point for deciding where to spend your attention.
Agronomists & advisers
A shared view of observations to support your judgement and grower conversations.
Agricultural organizations
A way to help shape practical monitoring workflows for your network.

The planned path

2025Company-reported prototype milestone
Dec 2026Minimum viable product (MVP)Target · not yet achieved · Dec 2026
2027–28Prairie betaPlanned · 2027–28
Q1 2029Commercial launch in CanadaTarget · not yet achieved · Q1 2029

06Learn

Field guides and questions about this website

Understand the score
What a field score can - and cannot - tell you
Use a score as a starting point, then check the observations and context behind it.
Observe & investigate
From a satellite signal to a useful field check
Turn a changing pattern into a focused question you can investigate on the ground.

Before you explore

More about the platform

Is AgriNova a fully launched service?

AgriNova is in development. Which capabilities a demonstration or a future pilot would include will be confirmed when enquiries open.

Are sensors required?

The proposed core platform does not require on-farm sensors. Optional field information may provide additional context.

Is the website example a real farm?

No. Its fields, scores and explanations are synthetic examples. It does not connect to your farm or carry out live AI analysis.

Can I take part in Canadian validation?

Not yet: enquiries are not open. When they open, suitability, timing and participation terms will be discussed before any place is confirmed.

Next step

See all three sample fields side by side, with their trends and the fixed example answers.

Try the field demo

Know which field to check next — and why.

Sample field review

North Field · Wheat

Crops, provinces and background

Historical field studies: Iran, 2021 — company-reported observations

Five founders

Planned Prairie beta: 2027–28

From a score change to a field record

North Field fell 11 points between June 5 and June 12

What the score rests on

Compare the north-east corner with the south half

“No visible difference” is a valid entry

Three things the planned product would do, and how each would be tested

Fields ranked, reasons shown

Evidence you can inspect

Your agronomist sees the same view

What has been observed so far, and how a Canadian result would be reported

Historical field studies

How Canadian results would be reported

What a field-monitoring service would need to be worth

Result at this setting

Fixed in this example

Who AgriNova AI is for, and the planned path to Canada

Growers

Agronomists & advisers

Agricultural organizations