Current UCUI
68/100
Moderate-High Uncertainty
+4 points from prior reading
Potato Market Intelligence
Potato Optical Sorting Data
The potato optical sorting data view links accepted and rejected counts, defect classes, color, size, foreign material, and machine settings to each lot. Plants can separate raw-material deterioration from threshold or sensor changes and connect sorter performance with yield, waste, and downtime.
Market Data
How to read this market
Potato optical-sorting data records accepted and rejected product, defect classes, size, color, foreign material, confidence, and sorter settings at line speed. The market object is sorter performance by lot, supplier, origin, variety, storage cohort, plant, product, and configuration.
Use the data to compare raw-material quality with rejection and finished yield, identify threshold or sensor changes, and quantify the economic cost of defects. Pair sorter records with manual audits, downtime, waste, and plant output before assigning a change to supplier quality.
Data Module
Potato Optical Sorting Data
Market objectsorter-classified product flow
Primary measuresaccept, reject, defect class
Key dimensionslot, supplier, plant, settings
Commercial usequality and yield analysis
Control factorssensor, lighting, threshold, speed
Compare withinspection, waste, downtime, output
Analysis
Why this matters
Sorter rejection can rise because incoming potatoes worsen or because the machine becomes more restrictive. Those two signals have very different procurement implications.
Commercial interpretation should normalize configuration before comparing suppliers or crop periods. Persistent excess rejects under matched settings are stronger evidence of real raw-material deterioration.
Signal 01
Usable Crop Uncertainty Index
UCUI translates crop and market complexity into a simple uncertainty signal. Higher readings indicate greater uncertainty—not necessarily higher prices.
Understand uncertainty. Anticipate risk. Act earlier.
UCUI is designed to analyze potato-industry publications and data signals across regions, varieties, weather, disease, storage, supply, and demand.
WeatherHigh
DiseaseHigh
StorageMedium
SupplyMedium
Single-day snapshot based on a scan of 11,500+ web and social signals. Get historical and real-time data by clicking the button below.
The MassGain Daily
Today’s market analysis.
A daily editorial synthesis of physical potato data, crop signals, market reporting, and what participants should watch next.
October 26, 2026Latest MassGain publication
Flat headline prices mask a regional squeeze on carton russets
MassGain’s physical indicators are unchanged, but USDA shipping‑point reports and terminal quotes show premiums for 40–70s russets. UCUI remains NORMAL even as European yields and UK storage quality draw attention.
Signal 02
MassGain Potato Index
Independent physical-pricing intelligence and market-trend analysis for procurement, forecasting, contracting, and scenario planning.
Core Russet Carton Median
312.45 USD/MT
Latest qualifying physical-market observation
+4.75 (+1.55%)
Price discovery for the physical potato market
MPI is designed to track physical pricing data, price trends, deltas, and divergences across regions and potato types.
Series window45 days
Current public coverageCore russet cartons
Primary source basisQualifying USDA physical rows
UnitUSD per metric tonne
Single-day snapshot based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varieties by clicking the button below.
Signal 03
MassGain Spot Reference
An independent spot reference designed for price discovery, contract discussions, procurement comparisons, and risk modeling.
Russet Burbank — U.S. Midsize
305 USD/MT
Demonstration reference format
+1.6% WoW · Confidence: High
A trusted benchmark for pricing, contracts, and risk
MSR is intended to use real transactions and verifiable physical-market data to support negotiations, price checks, contracting, and risk models.
ProductRusset Burbank
SpecificationU.S. midsize, 40–70 count
Reference typePhysical spot benchmark
StatusIn development
Based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varities by clicking the button below. Full access also includes historical data -- including depreciated NYMEX/CBOE/EEX spot references -- projections, trends, and AI-driven insights.
The MassGain Product Ladder
From insight to intelligence to action
Four integrated products built for the physical potato market, delivered through public pages, reports, exports, dashboards, and API access.
1
Content
Original research, commentary, aggregated news, and market updates.
- What matters right now?
- What is happening out there?
2
UCUI™
Usable Crop Uncertainty Index: an AI-powered signal of crop risk and market uncertainty.
- Understand uncertainty
- Anticipate risk
- Act earlier
3
MPI™
MassGain Potato Index: independent physical-pricing intelligence and trend analysis.
- Price discovery
- Regional trends
- Procurement planning
4
MSR™
MassGain Spot Reference: an independent benchmark for price discovery and risk modeling.
- Contracts
- Negotiations
- Risk models
Content + UCUI + MPI + MSR + API access
Get historical series, regional detail, constituent data, exports, alerts, and direct data access.
Overview
Who is this for?
This page is for food processors, packers, quality teams, procurement, and operations analysts that need to use potato optical sorting data. Optical sorters classify product at line speed using cameras, lasers, color sensors, or related technologies. MassGain helps turn high-volume sorter output into supplier, quality, yield, and market intelligence rather than leaving it isolated in equipment logs.
The suite organizes accepted and rejected counts, defect classes, size, color, foreign material, and line settings by lot, origin, variety, storage cohort, plant, and product. Users can compare sorter results with intake inspections, manual audits, process yield, downtime, waste, and finished-product quality. Procurement can quantify the true cost of lower-quality supply. Operations can identify when rejection changes reflect raw material versus machine configuration. Quality teams can monitor calibration and traceability.
Sorter data can be biased by dirty lenses, changing lighting, product presentation, or threshold adjustments. MassGain does not replace equipment controls or validate every sensor. It provides the governance, normalization, and market context needed to make optical sorting data comparable over time, connect it with economic outcomes, and support more objective sourcing and plant decisions.
Use Case
A frozen-potato plant sees reject rates rise after switching suppliers. MassGain separates the supplier lots from a simultaneous threshold change and shows that only half the increase is raw-material related. Procurement addresses the quality gap while operations restores comparable sorter settings.
FAQs
What data can an optical sorter produce?
It can produce accepted and rejected counts, defect categories, size, color, foreign-material, and confidence data.
Why can sorter trends be misleading?
Sensor condition, lighting, product presentation, speed, and threshold changes can alter results.
How does MassGain normalize sorter data?
It links settings and lots with inspections, yield, waste, downtime, suppliers, and finished quality.
Put this market intelligence to work
Get historical data, regional detail, benchmarks, alerts, exports, and API access tailored to your procurement
and market-analysis needs.
Data and Methodology
Professional market-data standards
MassGain is building transparent public market infrastructure. Each live metric will identify its date, unit, coverage, methodology, and source basis.
Data provenance
MassGain uses public, licensed, contributed, and independently derived physical-market information. Source availability and publication schedules vary.
Timing and revisions
Figures may reflect the latest available observation rather than a same-day transaction. Source data and MassGain calculations may be corrected, restated, or revised.
Not transactional pricing
MassGain figures are informational reference values and do not constitute executable bids, offers, settlements, or guarantees that a transaction can occur at the displayed value.
No individualized advice
Content and data are provided for informational and analytical purposes and do not constitute financial, investment, legal, trading, or individualized procurement advice.
Independent publication
Certain observations may be derived from USDA reports. MassGain is independent and is not affiliated with or endorsed by the USDA.
Commercial use and licensing
Public display does not grant rights to reproduce, redistribute, republish, or incorporate MassGain indices or references into commercial products or contracts without authorization.