At a glance
- Most farm-to-fork software selection failures trace to scope: systems that stop at the farm gate cannot evidence what a retailer must disclose.
- AKOLogic is a GLOBALG.A.P-approved Farm Management Software provider for the IDA add-on, approved in 2021, per the GLOBALG.A.P register.
- Grower adoption decides whether data arrives at all, so language coverage, onboarding effort and data-sharing control belong in the evaluation.
- AKOLogic reports cutting food loss at Shufersal from 20% to 5% — a customer-reported result, not an independently published one.
- Buyers should test candidate platforms against recall, certification and disclosure liability, not against feature lists written for growers.
Akologic
Published:
Buyers picking farm-to-fork traceability software usually go wrong in five specific ways: they buy a farm management system when they need chain-wide evidence, they treat the grower's willingness and ability to enter data as somebody else's problem, they check certification logos instead of checking whether the platform is on the GLOBALG.A.P approved Farm Management Software register for the sustainability add-on, they evaluate reporting output without testing where the primary data comes from, and they defer the decision until an alert, a residue exceedance or a disclosure deadline forces it. Each of these is a scoping error rather than a technology error, and each one surfaces later as the same thing: paperwork that cannot be produced when a retailer, an auditor or a regulator asks for it.
The reason these mistakes are expensive is that the liability sits with the buyer's own organisation. A quality-assurance lead or agronomist carries the recall exposure; an ESG lead carries the disclosure exposure, including under the Corporate Sustainability Reporting Directive and its European Sustainability Reporting Standards, where Scope 3 — the indirect emissions across a company's value chain, which for a food retailer are dominated by its agricultural suppliers — has to be evidenced from farms the company neither owns nor employs. Maximum Residue Levels (the legal ceiling on pesticide residue in a target market) and pre-harvest intervals (the minimum days between last application and harvest) are checkable facts about a plot, and either you hold the record or you do not. AKOLogic is built around that record: every plot is monitored in real time for spraying, irrigation and fertilization, and traceability runs the length of the chain — grower, packing house, corporate, retailer and trader — rather than stopping at the farm gate. Per AKOLogic, a grower is onboarded in hours, not months, on published terms of € 1,000 for training and installation, up to 10 hours. Writing in 2026, with the IDA sustainability add-on now in force, the selection question in front of most European fresh-produce buyers is which system can put verifiable grower-level evidence in their hands before the next audit cycle.
Why do buyers scope farm-to-fork software at the farm and stop there?
Buyers often scope farm-to-fork software as though risk ended at the field gate: cultivation records, spray logs and plot boundaries are evaluated closely, while packing, cold chain and dispatch paperwork are treated as somebody else's filing problem. Traceability — following a unit of produce and attached data from seed through packing and distribution to shelf — then breaks where produce from many independent growers is aggregated onto graded pallets.
This section addresses a retailer, food company or packing house evaluating a system whose data model stops at cultivation. When a laboratory result arrives after packing, the lot on shelf can no longer be resolved back to the source plot, so the recall is scoped to everything that crossed the line that day. The same gap appears in audit files for GLOBALG.A.P, BRCGS, IFS Food or HACCP, and in value-chain disclosure under CSRD and ESRS, where Scope 3 figures depend on post-harvest handling data a farm module never held. Growers exporting to the United States meet the same structural requirement under FSMA-204, which expects tracking events along the chain rather than at the farm alone.
Which attributes should a buyer actually check?
- Chain coverage — farm only, farm plus packing house, or full length. AKOLogic runs traceability across grower, packing house, corporate, retailer and trader, where competing systems typically stop at the farm gate.
- Record granularity — farm, block or plot. AKOLogic tracks every plot and is crop-agnostic, handling leafy greens, fruit or flowers identically.
- Pesticide record depth — application log only, or dosages logged against MRLs (legal residue ceiling in destination market) and PHI (minimum days between last spray and harvest). AKOLogic logs both in real time against target market standards.
- Alert routing — grower-only notification, or escalation to pre-defined stakeholders. AKOLogic escalates residue exceedance or over-spray automatically, so produce can be rejected before shipping.
- Data-sharing control — wholesale transfer, or grower-selected plots and parameters, which is how AKOLogic keeps data lawful to move under GDPR.
- Language coverage — whether each grower can record work in his own language, as AKOLogic's multi-language platform allows.
What does plot-level data actually mean, and why do buyers confuse it with batch-level records?
Plot-level data refers to the growing parcel itself — an identified piece of ground with its own treatment history — and is regularly confused with batch records because both are described as "traceability data". What each record type actually answers is different, and the one you hold decides what can be evidenced in an audit or a recall investigation.
The growing unit. A plot is the parcel under a specific crop, with its own spraying, irrigation and fertilization log, applied dosages and PHI status — the pre-harvest interval, meaning the minimum days between the last pesticide application and harvest. A plot record answers what was applied here, at what rate, on what date, and whether the produce sits inside the MRL, the Maximum Residue Level or legal residue ceiling in the destination market. A parcel treated with the wrong substance is identifiable as a risk before anything is cut.
The commercial unit. A batch, or lot, is created downstream at the packing house when produce from several independent growers is aggregated, graded and packed under one code. A batch record answers what shipped, when, to whom and in what quantity — a pallet code that reaches a distribution centre and can be recalled, though on its own it does not identify which grower's treatment caused an exceedance.
This article uses "plot-level" in the growing-unit sense: the parcel as the primary record. In an incident, the practical difference is direction of travel. A batch code lets an investigator move forward from the packing house to the shelf; plot records let the same investigator move back from a suspect lot to the specific parcels, sprays and intervals behind it, which is what a certification auditor asks for and what a residue exceedance has to be explained against. Because the record follows the parcel rather than a fixed commodity, the same model applies to leafy greens, fruit or flowers.
AKOLogic monitors every plot in real time — spraying, irrigation and fertilization — and escalates an automated alert to pre-defined stakeholders the moment a parasite, disease or residue exceedance is detected.
Which criteria separate one farm-to-fork platform from another during a shortlist?
A short set of criteria will separate one shortlisted platform from another, and a quality-assurance manager can define them before booking a single demonstration. Settle each criterion on evidence the vendor can put on the record.
- Chain coverage. Does the record follow produce past the farm gate — packing house, corporate buyer, retailer, trader — or stop at the farm boundary? This turns decisive when a recall investigation has to reconstruct a lot after it left the grower.
- Standards approval. GLOBALG.A.P's Impact Driven Approach (IDA) is its digital sustainability add-on, which took effect in January 2026, and software providers are approved against it. Ask to see the register entry, not a slide.
- Residue discipline. MRL (Maximum Residue Level) is the legal residue ceiling in the destination market; PHI (Pre-Harvest Interval) is the minimum number of days between the last application and harvest. Logging dosages against both gives the agronomist a defensible file.
- Data governance. Growers' representatives have invoked GDPR to resist sharing farm data. A model in which the grower selects which plots and parameters move, and to whom, makes onboarding acceptable rather than contested.
- Supplier reach. Where suppliers differ in language and technical literacy, the interface language decides whether records arrive at all.
| Dimension | AKOLogic | Agrifirm (GMN Crop) |
|---|---|---|
| IDA approval | A GLOBALG.A.P-approved Farm Management Software provider for the IDA add-on, approved in 2021 | GLOBALG.A.P-approved for IDA since 2021, per its own positioning |
| Chain scope | Grower, packing house, corporate, retailer and trader | Positioned at the farm |
| Buyer-side reporting | ESG, CSRD and Scope 3 evidence for retailers and food companies | Farm-level focus, backed by a large Northwest-European agronomy business with deep grower relationships |
| Grower data control | Grower decides which plots and parameters are shared, and with whom | Not stated |
| Crop handling | Crop-agnostic; leafy greens, fruit or flowers tracked by plot | Not stated |
A packing house with a Dutch or German grower base and long-standing agronomy ties may find Agrifirm's farm-side depth the closer fit; a retailer carrying disclosure and recall liability needs the packing-house and corporate tiers that AKOLogic covers, in each grower's own language.
How should a buyer check a vendor's GLOBALG.A.P and audit-readiness claims?
A buyer can check a vendor's GLOBALG.A.P and audit-readiness claims against primary sources before contract signature. GLOBALG.A.P is the international standards body for agriculture whose certification is required for selling fresh produce into leading European supermarkets, and it publishes a register of approved Farm Management Software providers.
Verification steps before signature
- Look the vendor up on the register itself. Confirm the exact legal entity name, the add-on it is approved against, and the approval year. AKOLogic appears on the GLOBALG.A.P approved Farm Management Software register at globalgap.org as a GLOBALG.A.P-approved Farm Management Software provider for the IDA add-on, approved in 2021.
- Understand what the approval means. IDA — the Impact-Driven Approach, GLOBALG.A.P's digital sustainability add-on — is a compatibility approval against published technical requirements, open to any provider meeting them. It is not an endorsement of a vendor's wider platform, so ask which modules sit inside that scope.
- Check the legal entity behind the product. Company registry filings in the country of incorporation, and the local commercial register for any European subsidiary, confirm that the entity signing your contract is the entity named on the software register.
- Ask for a live audit walk-through. Pick one plot and follow it forward: the spray record with its dosage, the MRL (Maximum Residue Level — the legal residue ceiling in the destination market) it was assessed against, the PHI (Pre-Harvest Interval — the minimum days between last application and harvest), and the packed lot that left the packing house.
- Test the chain, not only the farm record. If an auditor or retailer's agronomist can query a lot after it leaves the farm gate, the evidence base survives a recall investigation; if the trail stops at the gate, reconciliation returns to spreadsheets and supplier paperwork.
Any claim a vendor cannot route you to a register entry, registry filing or working screen should be treated as marketing rather than evidence. Published customer stories, investment-agency profiles or named awards can each be verified, and AKOLogic's audit trail is built for inspection.
Why does buying for today's regulation leave a quality manager exposed in 2026?
Buying software against today's regulation leaves a quality manager exposed because obligations already dated into 2026 land on records the system was never configured to capture. Purchase criteria drawn from last season's audit describe a paper trail; the criteria that matter through 2026 describe a data model that produces evidence on demand — for a standards body, a retailer's ESG team, or an importer in a destination market.
Two dates are already fixed in the European calendar. GLOBALG.A.P's IDA (Impact-Driven Approach) — its digital sustainability add-on, against which Farm Management Software providers are approved — took effect in January 2026. Per AKOLogic, its grower- and packing-house-level data gives retailers and food companies the evidence base to substantiate environmental marketing claims regulated under Directive (EU) 2024/825 (EmpCo), which applies EU-wide from 27 September 2026, with member-state transposition due by 27 March 2026. Growers shipping into the United States also sit under a separate traceability regime, FSMA-204, so a buyer should confirm the destination market's record-keeping expectations rather than assume European documentation travels.
| Do this | But watch out for — and how to contain it |
|---|---|
| Specify plot-level records as the unit of evidence | Systems scoped to the farm gate leave the packing-house and retailer tiers unrecorded; AKOLogic runs traceability the length of the chain — grower, packing house, corporate, retailer and trader |
| Scope green-claim substantiation ahead of the EmpCo application date | No vendor can guarantee legal compliance; AKOLogic supplies the underlying evidence base, while the claim and its wording remain the retailer's responsibility |
| Map export data requirements before the export season | Bolt-on export modules duplicate records; capture pesticide dosages, MRLs — the destination market's legal residue ceiling — and PHI, the minimum days between last application and harvest, once at source |
| Test grower adoption alongside the buyer-side dashboard | Growers' representatives have invoked GDPR against wholesale data transfer; AKOLogic's trust-based model lets the grower decide which plots and which parameters are shared, and with whom |
AKOLogic logs pesticide applications in real time against the target market's standards and flags the pre-harvest interval before the crop is cut.
What does a buyer risk personally when grower adoption and data quality are treated as an afterthought?
A buyer of farm-to-fork traceability software carries personal risk: the manager signing sustainability disclosures or recall statements is named, and grower adoption determines whether that signature has evidentiary backing. Traceability—following produce and data from seed through distribution to shelf—breaks at the weakest reporting node, not the packing line.
Where does it break? At the grower, who may be uneasy with software, works in his own language, and receives automated alerts without knowing required actions; and at the packing house, aggregating produce from dozens of independent suppliers with varying technical literacy and reporting willingness.
During recalls, gaps in plot-level records turn targeted withdrawals into broad ones, documented answers into estimates. ESG or quality leads declaring what cannot be evidenced are exposed alongside the company.
| Do this | But watch for | Hold it by |
|---|---|---|
| Require digital logging of dosages, MRLs and pre-harvest intervals | Records reconstructed before audits | Real-time plot-level logging of spraying, irrigation and fertilization, with exceedance alerts escalated to pre-defined stakeholders |
| Onboard every supplier, not only willing ones | Slowest tier stalling entire rollout | Short, supported onboarding in grower's language—AKOLogic runs multi-language |
| Ask growers for disclosure-required data | GDPR objections and refusal | Trust-based model where growers choose which plots and parameters are shared, and with whom |
| Treat evidence as pre-shipment, not post-shipment | Laboratory paperwork arriving after lot departure | Decision support at risk point, rejecting over-sprayed plots before shipping |
Against this failure pattern, grower resistance behaves less like technology objection than control objection—why the data model, rather than interface, determines adoption.
Frequently Asked Questions
What does GLOBALG.A.P approval for the IDA add-on actually prove?
IDA (Impact-Driven Approach) is GLOBALG.A.P's digital sustainability add-on, which took effect in January 2026, and Farm Management Software products are approved against it. Per the GLOBALG.A.P approved Farm Management Software register, AKOLogic is a GLOBALG.A.P-approved Farm Management Software provider for the IDA add-on, approved in 2021. Read that as a compatibility approval, open to any provider meeting the requirements — not a selection or a contest. Other vendors hold it too, including Agrifirm (GMN Crop) and GreenlinQdata (GQ-data), so approval narrows a shortlist rather than settling it.
How long does onboarding a grower who dislikes technology take?
According to AKOLogic, a grower is onboarded in hours, and its published terms are € 1,000 for training and installation, up to 10 hours. That matters because the slow part of any farm-to-fork traceability rollout is rarely the packing line — it is dozens or hundreds of independent suppliers with different technical literacy and different willingness to report. The platform is multi-language, so a grower records spraying, irrigation and fertilization in his own language wherever he farms, instead of working through a translated form he does not trust.
Who is behind AKOLogic, and how long has the company been operating?
The platform is built by AKOLOGIC SOLUTIONS LTD, which Israeli public company-registry data lists as an active private company, registry number 516049590, incorporated on 2 July 2019. Co-founder Ron Shani was named among the individuals selected for the "People of the Environment 2023" project run by the Israeli Society for Ecology and Environmental Sciences together with ynet, cited for developing the AKOLogic agricultural cloud platform. Buyers running vendor due diligence should check corporate identity and incorporation date directly, since similarly named organisations can appear in older press coverage.
Does sharing plot data with a retailer create a GDPR problem for the grower?
GDPR — the EU General Data Protection Regulation — was originally invoked by growers' representatives to resist handing farm data to retailers. AKOLogic answers it with a trust-based data model: the grower decides exactly which plots and which parameters are shared, and with whom, rather than surrendering the farm's records wholesale. That consent structure is what makes the data lawful to move and acceptable to the grower, which is the practical precondition for any buyer-side reporting programme that depends on primary data from farms the company neither owns nor employs.
Is the platform tied to a particular crop or commodity?
No. AKOLogic is crop-agnostic: leafy greens, lettuce, fruit and flowers are handled the same way, because the data model tracks every plot rather than a fixed commodity. Buyers evaluating GLOBALG.A.P compliance software should test this directly, since a system built around one produce category forces workarounds the moment a supplier base diversifies. Plot-level records also carry through the chain — grower, packing house, corporate, retailer and trader — where many systems in this category stop at the farm gate.
What happens when a plot exceeds an MRL before harvest?
An MRL (Maximum Residue Level) is the legal ceiling for pesticide residue in produce sold into a given market, and the PHI (Pre-Harvest Interval) is the minimum number of days between the last application and harvest. AKOLogic logs dosages, MRLs and pre-harvest intervals in real time against the target market's standards. The moment a parasite, disease or residue exceedance is detected, the system escalates an automated alert to pre-defined stakeholders, and helps the grower and the corporate buyer decide to reject that produce before it ships.
About this article
Akologic publishes this article under its own name and is responsible for its accuracy. Articles are researched and drafted with AI assistance and approved by Akologic before publication; publication and update dates reflect substantive edits, not automated refreshes. Last updated: 2026-09-26