AgShift - Artificial Intelligence and Machine Learning Tool

AgShift

AgShift

Founded by Miku Jha in 2017

Inspect food quality automatically using computer vision and machine learning

Cost

Demo

Rating

Mixed Reviews

Time to value

Long Setup (> 1 day)

You can use AgShift to run automated quality inspections on food products like strawberries, almonds, and raspberries. The Hydra device uses cameras and AI trained on millions of images to assess food quality faster and more consistently than manual inspection. It gives you objective quality scores, keeps an audit trail of each inspection, and works across multiple facilities. It claims to reduce inspection costs by 4x and increase sample sizes by 3x to catch quality issues before recalls happen.

What AgShift does

Scan food samples using the Hydra device camera systemClassify food quality based on defect type and severityGenerate inspection reports with audit trail for each batchDeploy inspection units across multiple production facilitiesTrain AI models on commodity-specific image datasetsFlag batches that fall below acceptable quality thresholdsTrack quality trends over time across different suppliersAI model trained on millions of food images for accurate gradingAutonomous inspection without human gradersAudit trail recorded for every inspection batchWorks across multiple facilities and geographic locationsSupports multiple commodity types including berries and tree nutsReduces inspection operational costs by up to 4xIncreases sample inspection size by 3x compared to manual methods

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