Last autumn, in the hills outside Seville, I watched a neighbour flick through a battered notebook full of pencilled entries: planting dates, irrigation notes, guesses at soil moisture. No timestamps. No GPS. No audit trail. Just memory and trust.
“In the end,” he shrugged, “this is the data.”
That line stayed with me long after I left his olive grove, because it captures the central dilemma facing every global supply chain leader today – not just in food, but in electronics, apparel, chemicals, building materials, you name it:
The data you need is held by suppliers you don’t know, in systems you can’t access, in formats you can’t verify.
And yet that data, not the neat ERP dashboards inside your own four walls, now determines your climate credibility, your regulatory exposure, your supply-chain resilience, and your commercial edge.
This is particularly brutal for food brands. For many, 70–95% of emissions sit on farms they don’t own, can’t see, and often can’t even identify.
Not because they don’t care.
But because the chain between farm and brand is long, tangled, and historically opaque:
Farm → co-op → trader → processor → manufacturer → retailer
(Identity evaporates somewhere around step two.)
So how can a Nestlé, a PepsiCo, a Danone, or a mid-sized regional brand, possibly report accurate Scope 3 emissions when half their upstream partners don’t appear on a map?
That’s why this week’s episode of the Resilient Supply Chain Podcast matters. It’s not “an agri-tech story.” It’s a case study in solving the hardest problem in Scope 3:
getting trusted, primary, machine-level emissions data from suppliers you don’t control.
The food system just happens to be the sharpest, most unforgiving example.
And the approach companies like eAgronom are using is the blueprint every other sector will need.
Phase 1 – The Data Says: You’re Flying Blind
Across industries, Scope 3 emissions dominate:
- Food & agriculture brands: 70–95% of emissions upstream
- Apparel: up to 96%
- Electronics: 75–80%
- Chemicals: ~70%
- Automotive: ~80%
(source: IEA 2025 Scope 3 synthesis, SBTi sector pathways, CDP)
But here’s the thing:
Across the global economy, only ~24% of companies can report Scope 3 data reliably, and fewer still can verify it.
And in agriculture specifically, the EU Court of Auditors reports that soil organic matter has declined across most regions, reducing yield resilience and increasing fertiliser dependency.
That means two things:
- Brands can’t decarbonise what they can’t measure.
- They can’t assess risk without visibility into suppliers they can’t see.
For food companies, the data challenge is extreme:
- Multiple tiers.
- Constant supplier churn.
- Farmers who don’t use digital tools.
- Data trapped in paper logs, local drives, machinery, or not recorded at all.
- Activities (tillage, fertiliser use, planting, harvest) that dramatically change emissions profiles.
Without intervention, Scope 3 reporting becomes little more than educated fiction – compliant-looking spreadsheets built on averages and assumptions.
That won’t survive CSRD audits.
It won’t hold up under SBTi FLAG.
It won’t withstand investor scrutiny.
And crucially, it won’t produce real-world emissions reductions.
Phase 2 – The Implications: Risk You Can’t See Is Risk You Can’t Manage
1. Climate
If 95% of a company’s footprint sits upstream, and upstream is invisible, then climate strategy becomes performance theatre.
Real mitigation demands primary data, not proxies.
As one guest put it:
“You can’t manage what you don’t measure, and today most companies measure nothing upstream.”
2. Security
Supply chain security starts with visibility.
If drought wipes out Spanish olive yields, or heatwaves slash French wheat production, or nitrogen policy shifts disrupt Dutch dairy – brands downstream feel the shock instantly.
But without granular, field-level data, companies can’t anticipate disruptions, re-allocate sourcing, or model risk.
3. Affordability
Every supply shock becomes a cost shock.
Soil degradation → lower yields → higher prices.
Energy volatility → fertiliser price spikes → cost inflation.
Extreme weather → insurance costs up → margin pressure downstream.
If you’re blind upstream, you’re reactive downstream.
4. Resilience
This is the heart of the story.
Resilience means knowing the state of your supply base before disruptions arrive:
soil moisture, tillage practices, fertiliser rates, water stress, carbon levels, storage conditions.
But today?
Most brands have never seen this data, not even once.
That’s the existential problem.
Phase 3 – The Strategies: A Blueprint from the Food Sector
What eAgronom is doing for farmers and food brands is the pattern every vertical will need.
Let’s break it down.
1. Collapse the distance between brand and supplier
Farmers don’t report directly to brands.
Machine data does.
eAgronom integrates:
- Tractor telemetry
- Harvester data
- Satellite imagery
- Soil sampling
- Farm-management systems
- Local agronomist input
- Automated anomaly detection
The result: high-quality, auditable primary data.
Now apply this pattern elsewhere:
- Apparel: gin–spin–dye data stack
- Electronics: smelter–component energy input stack
- Chemicals: feedstock–kiln–reactor energy-intensity stack
Every sector has its “farm-level mess.”
Every sector will need a data intermediary.
2. Standardise and verify upstream data
Survey-based supply chain reporting is dying.
Auditable, timestamped, GPS-anchored, machine-level data is the future.
Food is simply showing the way.
3. Incentivise suppliers, don’t burden them
This is the most misunderstood part.
If farmers, or suppliers, don’t benefit, they won’t participate.
In the podcast:
- Outcome-based payments
- Practice-based payments
- Low-carbon product premiums
- Knowledge transfer via agronomy teams
- Reduced reporting burden via automation
Other sectors will need parallel models:
- Low-carbon steel premiums
- Verified low-emission cotton premiums
- Clean smelter incentives
- Supplier decarbonisation funds
Suppliers change when data benefits them.
4. Build coalitions, not silos
Farmers supply multiple brands.
Just as tier-3 semiconductor fabs feed dozens of OEMs.
Or cotton farms feed hundreds of apparel brands.
Shared suppliers = shared programmes.
This is what real Scope 3 efficiency looks like.
5. Start early (now)
Food brands already face the crunch: 2030 targets are “five harvests away.”
In most sectors, the timeline is similar.
Scope 3 programmes take years to build.
Verification systems take years to tune.
Supplier trust takes years to earn.
No leader can afford to wait.
Phase 4 – The Signal of Change: Proof It Works
Here’s what gives me hope:
- eAgronom now covers 2.5 million hectares and 3,500+ farmers.
- Expected to deliver 1 million tonnes CO₂e reductions/removals annually.
- Tens of millions in farmer payments expected by 2026.
- Automation means farmers “log in less but report more.”
- Brands are phasing out average-based accounting.
- Soil carbon, water retention, input optimisation all trending up.
These aren’t pilot projects.
They’re early pieces of a structural shift.
And the pattern is replicable, which is the key message for leaders outside food.
The future of Scope 3 is intermediated, digital, verified, incentive-aligned, and collaborative.
Food is simply the first frontier.
If systems like this scaled globally, primary farm-level data alone could improve global food-system emissions reporting accuracy by up to 70% – a staggering shift for a sector historically reliant on little more than faith and averages.
Conclusion – Back to the Hills of Seville
Standing in that grove, listening to a farmer flipping through his pencilled notes, I realised this wasn’t a local anecdote.
It was a metaphor for the entire global economy.
Most supply chains still run on unverifiable stories, not data.
On goodwill, not audit trails.
On averages, not reality.
If you want to decarbonise, protect margins, stabilise supply, and build resilience, you need visibility upstream. Not “visibility” as in dashboards – but in the raw, granular, timestamped data that reflects what suppliers are actually doing.
Food brands are wrestling with the hardest version of this challenge.
And they’re showing the way forward.
Suppliers aren’t just nodes; they’re partners.
Data isn’t just reported; it’s measured.
Incentives aren’t peripheral; they’re foundational.
And resilience isn’t an aspiration; it’s an architecture.
If you want to see where Scope 3 is going, and what your industry must learn from food, listen to this week’s Resilient Supply Chain episode with eAgronom’s team.
It’s not about agriculture.
It’s about the future of supply-chain data.
And that future starts long before the factory, in places most brands have never looked.
Photo credit Adelina S on Flickr