AgShift

Founded by Miku Jha in 2017

Inspect and analyze agricultural food quality automatically using computer vision hardware

Pricing model

Demo

Rating

★ Mixed Reviews

Time to value

Long Setup (> 1 day)

You can use AgShift to automate quality inspections across raw agricultural commodities like almonds, strawberries, and raspberries. The system combines digital imaging, computer vision, and machine learning models to assess sample batches objectively, removing manual grading inconsistencies. It captures high-resolution imagery of food samples, checks for defects, sizes, and color variations, and produces standardized digital inspection reports with full audit trails. Packing facilities, distributors, and food processors can evaluate larger sample sizes quickly to maintain brand consistency, prevent product recalls, and reduce manual labor inspection costs.

What AgShift does

Analyze produce defect rates across batch samplesVerify fruit ripeness and color consistencyGenerate digital quality assessment audit trailsMeasure sizing variations across nut harvestsDetect bruising and skin blemishes on berriesExport commodity inspection data to supply chain logsInspects fresh produce and nuts using computer visionAnalyzes sample batches autonomously without human biasGenerates digital audit trails for regulatory complianceTrained on millions of commodity images and data pointsEvaluates produce color, sizing, and surface defectsConnects edge inspection hardware across multiple processing facilities

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Proprietary Cloud API, ERP System Connectors (Custom), Supply Chain Management Software, IoT Sensor Data Streams, Quality Management Systems (QMS), Data Export (CSV/JSON), Proprietary API, ERP Systems (Custom), Cloud Storage (AWS/Azure), Export to CSV/Excel, Quality Management Systems

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