A PGS India certificate is issued against the farmer and plot data held on the portal. Where that data is wrong, the certificate is wrong, and the error is usually found by a buyer or an inspector rather than by the Regional Council that issued it. Correcting an issued certificate is considerably slower than checking the data before issuing it.

This article sets out the checks a Regional Council should run before certificate issuance, which mismatches cause the most problems, and how to keep portal records aligned across an annual cycle.

The Checks to Run Before Issuing a Certificate

Five checks catch most issues. Run them against the portal record, not against the Regional Council's own spreadsheet, because the portal record is what the certificate is generated from.

CheckWhat to compareWhy it matters
Area consistencySum of plot areas against declared total areaCertified area exceeding held land invalidates the certificate
Appraisal completenessPeer appraisal recorded for every farmerA farmer without an appraisal cannot be certified
Crop matchCrops appraised against crops listed for certificationCertificates naming an unappraised crop are challenged by buyers
Yield plausibilityDeclared yield against plot areaQuantities exceeding what the area can produce indicate mixed produce
Membership statusFarmer active in the local groupCertificates issued to departed members are a recurring finding

The area check is the one most often skipped and the most damaging. Where a farmer's plots total more than the area declared, every downstream figure inherits the error, including the quantity a buyer is entitled to treat as certified organic.

Where Data Goes Wrong Between Appraisal and Issuance

Errors rarely originate at issuance. They enter earlier and survive because nothing checks them.

  1. Re-keying between systems. Farmer data captured on paper at appraisal, typed into a spreadsheet, then typed again into the portal, passes through two transcription steps. Each introduces error.
  2. Partial updates. A farmer adds a plot mid-cycle. The plot is added but the declared total area is not updated, so the two no longer reconcile.
  3. Duplicate farmer records. The same person registered twice, usually with a name spelling variation or a different father's name format. Both records then receive appraisals, and both can be certified.
  4. Crop entries added after appraisal. A crop recorded for certification that was never appraised. The certificate names it regardless.

A certificate can only be as accurate as the portal record behind it. Verification after issuance corrects one document; verification before issuance corrects the record every future document is drawn from.

Finding Duplicate Farmers Before They Are Certified

Duplicates are the hardest of these to detect by eye, because the two records are rarely identical. Check for them on combinations rather than on name alone:

Resolve duplicates before appraisal where possible. Once both records carry appraisals, deciding which to retain means deciding which appraisal to discard, and the Regional Council has to justify that choice.

Keeping Records Aligned Across the Annual Cycle

Regional Councils handle the same farmer data at three points each year: registration or renewal, peer appraisal, and certificate issuance. Where each stage maintains its own copy, the three drift apart.

A single reconciliation practice prevents most of this. After every portal submission, compare the count and total certified area held by the Regional Council against the portal's own figures. A shortfall in count usually means rejected records. A difference in area usually means a plot was added or amended in one place only.

Doing this at each submission takes minutes. Doing it once a year, immediately before issuance, means reconstructing which of three sources was correct for each affected farmer.


Certificate accuracy is decided by the state of the portal record, not by the care taken at issuance. Check area consistency, appraisal completeness, crop match, yield plausibility and membership before issuing, and resolve duplicates before appraisal rather than after.

KrushiFlow validates farmer and plot data before it reaches the PGS India portal, flags duplicate records across a local group, and checks plot areas against declared totals. Where a record would be rejected, it reports the reason and the row rather than failing the batch.