BRSR Core Compliance for Agri-Businesses: The Nine Attributes, Value Chain Disclosure, and Reasonable Assurance in One Click

What BRSR Core is, and why it is different

The Business Responsibility and Sustainability Report has been mandatory for India’s largest listed companies for several years. BRSR Core is the subset that changed the character of the exercise: a defined list of key performance indicators that must be independently assured, with the requirement extending in phases to a company’s value chain partners.

Assurance is the operative word. A narrative disclosure can be written by a sustainability team from internally held estimates. An assured KPI must be traced by a third party back to a source record, with a documented method connecting the two. For food and agri-businesses, that trace stops at the factory gate — which is precisely where BRSR Core asks it to continue.

The nine core attributes

Green-house gas footprint — Scope 1 and Scope 2 emissions and intensity per rupee of turnover, with Scope 3 disclosure expanding.

Water footprint — total withdrawal, consumption and discharge, and intensity of water consumption.

Energy footprint — total consumption, share from renewable sources, and energy intensity.

Embracing circularity — waste generated by category, and details of waste management practices including recycling and disposal.

Employee wellbeing and safety — spending on wellbeing as a percentage of revenue, and safety-related incident metrics.

Enabling gender diversity — representation of women in the workforce and complaints on harassment and discrimination.

Enabling inclusive development — input material sourced from MSMEs and small producers, and wages paid to workers in different regions.

Fairness in engaging with customers and suppliers — instances of concentration of purchases and sales, and data privacy and cyber-security metrics.

Openness of business — purchases from trading houses and related party transactions as a share of total.

Where agri-businesses actually break

Three attributes cause almost all the difficulty. The GHG footprint fails because upstream cultivation emissions — fertiliser, irrigation energy, machinery, residue burning, farm-level transport — are estimated from spend or national averages that an assurer cannot trace to a source.

Inclusive development fails because sourcing from small producers is asserted rather than evidenced; there is no farmer-level record proving the volumes and the payments.

Water footprint fails because agricultural water withdrawal happens across thousands of farms with no metering and no recorded irrigation events.

In each case the gap is the same: the company holds procurement data and no farm data.

The three questions an assurer will ask

Where did this number come from? What method converted the underlying data into it? Can you reproduce it independently from source? A value-chain figure derived from a supplier spreadsheet with no methodology note fails all three, and the finding lands in a public document.

How CarbonBhoomi builds the evidence base

We digitise the sourcing base first. Every supplying farm gets a mapped, persistent record with cultivator identity, plot polygons, tenure, crop and season history — which immediately serves the inclusive development attribute with real farmer-level evidence rather than an estimate.

Field-captured activity data then drives the GHG engine: fertiliser type and rate, irrigation hours and energy source, machinery passes, residue management, transport distance and mode, processing energy and cold chain duration. Each maps to a versioned, source-cited emission factor aligned to GHG Protocol, IPCC 2019 refinements and ISO 14064, so every figure opens to its method and lineage.

Water is derived from recorded irrigation events and pump specifications rather than assumed from crop coefficients alone. Energy, waste and circularity indicators are captured through the same platform at facility level and reconciled against the upstream data.

The result is one verified data layer producing the entire BRSR Core set — and a report package generated in a single click, with every KPI carrying a drill-down to the underlying farm and facility records that produced it. That drill-down is what turns an assurance engagement from an argument into a review.

One dataset, four obligations

The same farm-level data layer that satisfies BRSR Core also produces your EUDR due diligence evidence, your buyer ESG questionnaire responses, your CDP and EcoVadis submissions, and the baselines for any agricultural carbon project you later develop. Collect once, use everywhere — this is the entire argument for building the data layer properly rather than assembling a report each year.

Sequencing against your reporting deadline

Work backwards from the filing date through internal review, assurance fieldwork and data freeze. Agricultural data is produced on the crop calendar, not the financial one, which means upstream collection must begin a full season earlier than most teams plan for. If your next assured report is twelve months away, the fieldwork starts now.