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Agrograde installs automated onion grader at Pimpalgaon market
Our read
Automated grading shifts onion value from bulk mandi throughput toward standardised, higher-realisation lots—provided machines maintain utilisation through volatile harvest and export-policy cycles.
For operators
Agrograde’s 10-tonne-per-hour onion grader offers Pimpalgaon growers a route to materially lower sorting labour, reduce handling damage and standardize quality for domestic and export buyers.
Watch
Verified grading accuracy and skin-damage reduction after peak harvest operation.
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The report,
Agrograde installed its GradePlus Pro automated onion grader at a farmer producer company in Pimpalgaon, Nashik, targeting faster, lower-cost post-harvest handling. The system processes up to 10 tonnes hourly and is designed to reduce onion skin damage for domestic and export supply chains.
Reported figures
From the report. Source details below
| More than | 130 machines deployed |
|---|
Also in the report
- Nearly 80% reduction in grading labour
- Up to 99% grading accuracy
- Three to five times higher throughput than manual grading
- ₹0.05 per kg grading cost
Other figures
- Up to 200 tonnes per day
- Founded in 2018
- 14 States
Why it matters to operators
Produce aggregators, exporters and agri-tech platforms could view Agrograde as a partnership target to add standardized grading capacity and traceable quality assurance near major farm markets.
What to watch next
- Sustained throughput near 10 tonnes per hour rather than demonstration-level output.
- A measurable premium for machine-graded export or organised-retail lots versus mandi-average lots.
- Additional orders from Nashik, Maharashtra onion clusters or other producing states.
- Government export-policy changes, onion stock limits or export restrictions that weaken the value of export-grade sorting.
- Labour shortages during harvest that increase the return on automation.
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- Machine maintenance costs, operator skill requirements or downtime complaints.
Likely next moves
Our read of what comes next — analysis, not reported by the source.
- Track Agrograde's disclosed installation base, uptime, seasonal utilisation and repeat orders from FPOs or packhouses.
- Monitor whether the Pimpalgaon operator secures export-packhouse, modern retail or institutional supply contracts using machine-graded lots.
- Watch for financing, subsidy or state horticulture support for post-harvest automation that lowers upfront adoption barriers.
- Assess whether competing optical sorters, weighing systems and digital lot-traceability vendors bundle into end-to-end onion packhouse offerings.
- Monitor changes in grade-wise price realisation, rejection rates, storage losses and labour deployment at the installation.
The counter-case
The case against this reading — not reported by the source.
The claimed gains may not translate into sustained commercial value if onion quality is highly variable, supply is seasonal, or farmers and traders continue to prioritize speed and price over machine-defined grades. A 10-tonne-per-hour machine can be underutilized outside peak arrivals, while maintenance, calibration, power reliability, operator training and financing costs could outweigh the stated ₹0.05/kg operating figure. Better grading does not by itself solve cold-chain gaps, price volatility, export restrictions, post-harvest spoilage or weak buyer premiums for consistent lots.
The source
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