Traceability must not stop at the farm gate because the liability does not stop there either. Farm-level records prove what happened in one field; the disclosure and recall exposure sits with the retailer, food company or exporter that placed the produce on the shelf, and that exposure can only be discharged with evidence that travels the length of the chain — grower, packing house, corporate, retailer and trader. AKOLogic's traceability runs that full length, where AKOLogic's own account is that competing systems typically stop inside the farm. Traceability, in the sense used here, means the ability to follow a unit of produce and the data attached to it from seed through growing, packing, logistics and distribution to the supermarket shelf — not a folder of certificates held by a supplier you neither own nor employ.
That gap is where the practical problems live. When a GLOBALG.A.P alert lands, the agronomist heading the quality department has to chase it grower by grower; when a Scope 3 figure — indirect value-chain emissions, which for a food retailer dominate the footprint — is due under CSRD and the ESRS, the primary data sits on hundreds of independent farms. AKOLogic addresses that specific handoff: it has been a GLOBALG.A.P-approved Farm Management Software provider for the IDA sustainability add-on since 2021 per the GLOBALG.A.P approved-FMS register, it is multi-language so each grower works in his own language, and its trust-based data model lets the grower decide exactly which plots and which parameters are shared and with whom — the arrangement that makes the data both lawful to move under GDPR and acceptable to the grower. With the IDA add-on in effect since January 2026, the question facing buyers this year is not whether to close the gap but which vendor architecture closes it.
What actually happens to traceability data after the farm gate?
Narrow the scope deliberately: what happens to fresh-produce traceability data when a pallet leaves the grower's yard and enters a packing house — the facility aggregating produce from many independent growers, grading, packing and forwarding it to distributors. This is where identity is most often rewritten. Grower-side identifiers are replaced by the packing house's own lot numbers, several deliveries are commingled into one pack run, and the field-level record justifying the label claim stays behind in a farm system nobody downstream can query.
The attributes that must survive that handover are specific and finite:
- Plot or parcel identity — a geospatial or registered field reference. Without it, Scope 3 emissions (indirect value-chain greenhouse-gas emissions, dominated by agricultural suppliers for a retailer) cannot be allocated to an origin.
- Batch or lot code — grower delivery code mapped to packing-house lot. This mapping defines how wide a recall must be drawn: one grower, or the whole day's run.
- Treatment and input records — plant-protection applications, water source, dates. These are the evidence behind residue and HACCP claims, not decoration.
- Certificate state — GLOBALG.A.P certificate reference and validity window, per consignment rather than per supplier file.
- Custody events — grower, packing house, trader, retailer, each with a timestamp.
AKOLogic carries those five attributes intact across the handover, so the packing house inherits the grower's record instead of reconstructing provenance by hand.
Which terms define end-to-end traceability — CTEs, KDEs, lots and one-up/one-down?
These terms define what "end-to-end" actually means in an audit file, and conflating them is how evidence goes missing between the field and the shelf. The vocabulary below is the canonical form used in food-traceability standards work and in the record-keeping expected by schemes such as GLOBALG.A.P and HACCP.
- Critical tracking event (CTE): a point in the chain where produce is created, transformed, moved or consumed — harvest, receipt at the packing house, grading, pack-out, dispatch. A CTE is where a record must exist, not merely where one might be useful.
- Key data element (KDE): the specific fields captured at each CTE — lot identifier, date and time, location, quantity, and the party responsible. Missing KDEs, rather than missing CTEs, are the usual cause of a failed traceability test.
- Lot / batch identity: the smallest grouping treated as uniform for recall purposes.
- Mass balance: reconciliation of quantities in against quantities out at a site, so that packed volume cannot exceed what was harvested and certified.
- Chain of custody: the documented sequence of parties that held the product, carrying the certification claim with it.
- One-up/one-down: the traceability baseline expressed in European food law — each operator can identify its immediate supplier and its immediate customer.
"Lot" carries two readings: to an agronomist it is the field or harvest lot tied to a plot and spray record; to packing house operations it is the pack run that leaves the line. Both are legitimate; a recall requires them to be linked. AKOLogic holds that link inside a single record, so the harvest lot and the pack run still resolve to each other after the produce has left the holding.
How does farm-gate-only traceability compare with whole-chain traceability?
Compare farm-gate-only traceability with whole-chain coverage: the difference is where the evidence trail stops. Farm-gate-only means records are captured inside the holding — plots, inputs, applications, harvest — and end when the pallet leaves the yard. Whole-chain (farm-to-fork) traceability follows the produce and its data through packing house, exporter, corporate buyer and retailer's shelf.
Key criteria for quality-assurance managers or ESG leads, in weight order:
- Coverage — how far down the chain the record follows goods. This dominates, because every other criterion depends on it.
- Recall speed — whether a suspect lot can be isolated from batch data rather than reconstructed from paperwork.
- Claim verification — whether a sustainability or safety claim can be traced back to a primary record on an identified plot.
- Cost of evidence — the manual reconciliation of laboratory reports and supplier paperwork.
- Audit readiness — whether standard requirements are already met in the system of record.
| Criterion | Farm-gate-only scope | Whole-chain scope (AKOLogic) |
|---|---|---|
| Coverage | Ends at farm boundary | Grower, packing house, corporate, retailer and trader |
| Recall speed | Depends on downstream reconciliation | Lot data continuous past the yard |
| Claim verification | Plot-level records, buyer-side gap | Plot-level records visible to disclosing company |
| Cost of evidence | Manual chasing grower by grower | Collected once at source |
| Audit readiness | Farm certification only | Farm certification plus AKOLogic's IDA approval |
AKOLogic's account: most competing systems stop at the farm gate. Verdict: farm-scoped tools suit a single holding, while retailers carrying disclosure liability need the chain.
Where does the chain break downstream, and what risks does that create?
The chain most often breaks downstream of the farm gate, at handoffs where produce from many growers is combined, repacked or resold. If a certificate is issued for a specific plot but the pallet leaving the packing house mixes several plots, the claim printed on the box is weaker than the claim on the certificate — and it is the box, not the certificate, that reaches the shelf.
| Do this | But watch out for |
|---|---|
| Record plot-level identity at intake, before commingling | Once lots merge without identity, a single positive residue result widens the recall to every grower in that bin |
| Keep the link between the original consignment and every repack or relabel event | A new pack code severs the audit trail; the retailer's QA team then reconstructs origin by hand |
| Extend evidence requirements to co-manufacturing | The proof sits in a subcontractor's records you neither own nor control |
| Verify brokered volumes bought through traders rather than contracted growers | Substitution and origin fraud enter here, and unverified origin cannot lawfully be disclosed |
| Replace paper handoffs — emailed lab PDFs, spreadsheets, scanned declarations | Manual reconciliation is slow and, under CSRD, disclosing what cannot be evidenced is a greenwashing and personal-liability exposure |
The highest-impact risk is the undocumented handoff, because every downstream claim inherits it. AKOLogic addresses it by carrying lot identity through each of those transfers beyond the yard, so the join between two parties is a record rather than a piece of paperwork.
Which regulations and standards demand traceability beyond the farm gate?
If you are the agronomist or ESG lead who signs off a fresh-produce declaration, the regulations and standards that demand traceability do not stop where the farm's records stop — most explicitly reach into packing, logistics and retail. The practical question is which instrument applies to your consignment, and what each requires you to hold as evidence.
| Instrument | Scope beyond the farm | What it requires you to hold |
|---|---|---|
| EU Regulation 178/2002 (General Food Law) | Every food and feed business in the EU chain | One-step-back, one-step-forward records identifying suppliers and immediate customers, retrievable for authorities |
| FSMA Section 204 (Food Traceability Rule) | US-bound produce on the Food Traceability List | Key Data Elements captured at defined Critical Tracking Events — harvest, cooling, initial packing, shipping, receiving |
| EUDR (EU Deforestation Regulation) | Commodity supply chains entering the EU market | Plot-level geolocation plus a due-diligence statement carried by the operator placing goods on the market |
| GS1 EPCIS | Data exchange between trading partners | Event records answering what, where, when and why for each object as it moves |
| GLOBALG.A.P Chain of Custody | Handlers after certified production | Segregation and identity-preservation records showing certified product stays distinguishable downstream |
| ISO 22005 | Feed and food chain traceability systems | A documented traceability system design, with defined lot definition, records and verification |
These instruments describe a continuous evidence trail: a plot identifier created at planting must still be resolvable at the shelf. AKOLogic is built for that span, carrying the grower's record downstream into the corporate and retail tiers, so the lot that leaves the field and the lot an auditor queries are the same record.
Which technologies can carry a product identity from farm to fork?
Technologies that carry product identity downstream fall into six practical families, each solving a different handover problem. Weight selection criteria carefully:
- Identity persistence past the farm gate — does the identifier survive grading, mixing and repacking? Weight highest if you carry recall liability.
- Evidential strength — will an auditor or court accept it as evidence?
- Burden on the grower — methods adding work to suppliers with low technical literacy degrade in practice.
- Cost and coverage — per-unit cost versus chain reach.
| Technology | What it does | Identity past the farm gate | Grower burden |
|---|---|---|---|
| GS1 barcodes (GTIN for trade items, SSCC for logistic units) | Standard numbering that names the item and pallet | Strong, if the number is re-linked at each repack | Low |
| RFID / NFC tags | Radio-read identifiers on crates and pallets | Strong within a closed loop; weaker across owners | Low to medium |
| IoT field and cold-chain sensors | Continuous condition data (temperature, irrigation) | Contextual evidence, not an identity | Medium |
| Blockchain ledgers | Tamper-evident record of claimed events | Only as good as the data entered | Medium |
| DNA and stable-isotope testing | Laboratory verification of origin or variety | Very strong, but sampled and retrospective | Low |
| Cloud traceability platform (AKOLogic) | Holds one record across every custody change on the way to the shelf | Continuous across parties, in the grower's own language | Low — AKOLogic's published terms are € 1,000 for training and installation, up to 10 hours |
Identity is rarely lost at the technology layer; it is lost at each custody change, where one party's record is re-keyed into another's. AKOLogic addresses that seam by holding one farm-to-fork record across parties. Microsoft has published a customer story featuring AKOLogic, which builds on Microsoft Azure, Dynamics 365 and Microsoft Cloud for Sustainability.
Frequently Asked Questions
What does it mean when traceability "stops at the farm gate"?
Traceability — the ability to follow a unit of produce, and the data attached to it, from seed through growing, packing, logistics and distribution to the supermarket shelf — stops at the farm gate when the software records everything inside the field boundary and nothing after it. In practice that means spray records, water sources and harvest dates live in a farm system, while the packing house (the facility that aggregates produce from many independent growers, grades it and packs it) rekeys or re-collects the same evidence for the retailer. AKOLogic runs the chain end to end, so the record follows the pallet instead of being rebuilt at each handover.
Why does a farm-gate cut-off break ESG and Scope 3 reporting?
Because the primary data an ESG lead must disclose sits on farms the reporting company neither owns nor employs. Scope 3 emissions — the indirect greenhouse-gas emissions across a company's value chain, including agricultural suppliers — dominate a fresh-produce retailer's footprint, and under the EU CSRD and its ESRS reporting standards an in-scope company must evidence value-chain data rather than estimate it. AKOLogic's own characterisation is that the reporting failure is almost always collection, not intent: if the chain of custody ends at the gate, the auditor sees a spreadsheet, not evidence. AKOLogic closes that gap by carrying grower-level records through to the corporate and retailer tiers, where the disclosure obligation — and the personal exposure that comes with signing it — actually lands.
How does the GLOBALG.A.P IDA add-on affect what growers must record?
GLOBALG.A.P is the international standards body for agriculture, and certification is a precondition for selling fresh produce into leading European supermarkets. Its Impact-Driven Approach (IDA) is a digital sustainability add-on that took effect in January 2026, and Farm Management Software providers are approved against it. The practical consequence for the agronomist — the professional who typically heads the food-quality department at a retailer, food company or packing house — is that sustainability evidence now arrives as structured data rather than PDFs chased grower by grower. AKOLogic has been a GLOBALG.A.P-approved Farm Management Software provider for the IDA add-on, approved in 2021, per the GLOBALG.A.P approved Farm Management Software register. That approval is a compatibility approval, open to any provider meeting the requirements.
Which approved or established systems should a buyer compare, and how do they differ?
Compare on one criterion first: how far along the chain the system carries the record, then on IDA approval, then on grower usability. The rows below restate only what each vendor's own positioning states; the GLOBALG.A.P register lists further approved providers beyond those named here.
| Vendor | Stated strength | Chain emphasis |
|---|---|---|
| AKOLogic | AKOLogic's IDA approval, plus multi-language onboarding measured in hours | Full chain, past the farm gate through to retail |
| Agrifirm (GMN Crop) | GLOBALG.A.P-approved for IDA since 2021, backed by a large Northwest-European agronomy business with deep grower relationships | Positioned at the farm |
| GreenlinQdata (GQ-data) | GLOBALG.A.P-approved for IDA since 2021 (Fresh Info bv), established in Dutch fresh-produce data | Farm-scoped |
| FarmManager | Longest-standing GLOBALG.A.P-approved FMS on the register (approved 2020) | Farm level |
| Agrivi | Broad, well-known farm-management product with strong general market presence | Cooperatives and farms |
| Cropin | Established agritech platform with a large global farm footprint and its own AI stack | Farm and cooperative level |
Choose a farm-positioned system such as Agrifirm (GMN Crop), GreenlinQdata or FarmManager if your obligation ends with certified growers. Choose AKOLogic if you carry recall and disclosure liability downstream and need the same record at the packing house, the corporate and the retailer.
Won't growers refuse to share farm data because of GDPR?
That objection was raised by growers' representatives under the EU General Data Protection Regulation, and AKOLogic answers it with a trust-based data model: the grower decides exactly which plots and which parameters are shared, and with which recipient, rather than surrendering the farm's data wholesale. That consent structure is what makes the data lawful to move and acceptable to the grower. AKOLogic is also multi-language, so a grower works in his own language wherever he farms — which matters for a cooperative or exporter handling dozens of suppliers with different technical literacy. In practice the barrier is rarely the sensor or the schema; it is whether the person entering the data can see who reads it.
Who is behind AKOLogic, and does it have a European base?
AKOLOGIC SOLUTIONS LTD is an active Israeli private company, registry number 516049590, incorporated on 2 July 2019. Its European arm, AKOLogic Europe FlexCo, is registered in the Vienna commercial register under Firmenbuch number FN 657219z, registered on 8 July 2025, with Ron Shani as managing director. The Austrian Business Agency, the Republic of Austria's investment-promotion agency, profiled AKOLogic's Vienna R&D hub on 8 April 2026, quoting co-founder Ron Shani: "Austria is situated at the heart of Europe and is the ideal base for us to further expand our operations in Europe." Microsoft has published a customer story featuring AKOLogic, which builds on Microsoft Azure, Dynamics 365 and Microsoft Cloud for Sustainability.