Cattle in a paddock at twilight
Cross-sector agricultural production modelling

Model the whole system, not one crop at a time.

CANOPY simulates agricultural production — yield, volume, quality, welfare, and emissions — across crops and livestock, and connects them. When grain prices spike, it already knows what that does to feed availability, feedlot gain, and the herd. Impose a disease incursion, a cyclone, or an input crisis and it traces the shock across every connected sector — through time, to a verdict on what holds. Built on peer-reviewed research, fully source-attributed, and maintained as the science moves.

Request a briefing → Try the live avocado demo →

Methodology grounded in peer-reviewed agronomic and animal-science literature, assessed out-of-sample, and independently reviewed.

Region-by-region · Source-attributed · Independently reviewed

Why single-sector tools fall short

Agriculture isn't siloed. Most models are.

Yield models predict a crop. Livestock models predict an animal. But a drought that cuts the grain harvest also raises feed costs, thins the feedlot, and reshapes the herd — and a methane levy or a biosecurity incursion ripples the same way. The decisions that matter most to levy bodies, lenders, and governments sit between commodities, exactly where single-sector tools go blind.

CANOPY is built to answer the questions that cross those lines — and to stress-test the shocks that travel along them.

What CANOPY does

One coupled engine, built for the questions that cross commodities

01

Production simulation, region by region

Yield, volume, and quality for major crops and livestock sectors, resolved by region and year — not national averages that hide where the risk actually sits.

02

Scenario stress-testing across sectors

Impose one shock — a disease incursion, a cyclone, an input crisis, a processing failure — and the model carries it downstream the way the real economy does: grain into feed and feedlot gain, pollination into orchard volume and price. See it everywhere it lands, through time, down to which sectors hold and which are pushed past viability.

03

Externality overlays

Welfare, heat-stress, enteric-methane life-cycle accounting, and biosecurity-recovery channels — the quantities institutions are now required to estimate and rarely can.

04

Transparent methodology

Every equation and parameter is mapped to its published source. No black box. The figures are built to withstand scrutiny from people who model for a living.

The sectors we model

23 sectors. One coupled engine.

Grains Sugar Cotton Avocados Bananas Citrus Mangoes Berries Watermelon Sweet potato Tomato Capsicum Lettuce Viticulture Apiculture Dairy Beef (feedlot) Beef (extensive) Pork Chicken-meat Eggs Aquaculture Seafood

One coupled engine, twenty-three sectors, and the cascades that connect them — with detailed production modules rolling out across them over time.

Who it's for

Built for the people who allocate, regulate, and underwrite

Allocate

Research & development corporations and levy bodies

Ex-ante and ex-post scenario analysis, levy-payer value, and RD&E priority alignment.

Regulate

Government and statutory offices

Production-risk and policy scenario modelling for briefings and submissions.

Underwrite

Banks, insurers, and reinsurers

Production-volume and shock exposure for credit, underwriting, and climate-risk work. (Engagements on request.)

Trade

Processors, traders, and investors

Feed-cost exposure, supply forecasting, and due diligence across the value chain.

Defensible by design

No black box

CANOPY's modules are built on the published agronomic and animal-science literature — work by Renouf, Bange, Nguyen, Hedayati, the NRC feeding standards, and others — with every parameter tagged to its source.

Predictive performance is assessed out-of-sample against independent production data, and the models are independently reviewed. We publish our methods, state our limitations, and version every release.

Source-attributedOut-of-sampleUncertainty carriedIndependently reviewed
Read our approach to validation →
CANOPY · avocado moduleillustrative
WA
Wagland Advisory
CANOPY-AVO-QLD
Avocado — production volume simulator
region × year · management levers · pollination-collapse channel
Production
8.4 t/ha
Hives / ha
6.0 set
Collapse Δ
−31 %
Regional volume response
t/ha · baseline vs pollination-collapse scenario
BaselinePollination-collapse
Water
Fertiliser
Fungicide
Hives / ha
Two ways to work with us

Buy the model, or hire the team that built it.

CANOPY — the platform

Our cross-sector production-simulation engine, calibrated to your commodity and region. The fastest way to put coupled, source-attributed modelling in front of your analysts.

Explore CANOPY →

Consulting — applied agricultural science

When the question doesn't fit an off-the-shelf module — a bespoke model, a methodology review, an expert opinion, a scenario no one has built yet — you can engage the people who built CANOPY directly.

See how we consult →
See it on your sector

See it on your sector.

We'll walk your team through the model on the commodity and region you care about, show the methodology behind it, and scope what a calibrated version would look like for you.

Request a briefing →
[email protected]