PRODUCE QUALITY ASSURANCE AI SOLUTION
Fresh produce quality is unpredictable, manual checks are often slow and inconsistent. With DiMuto PQAI, every carton can be instantly analyzed by AI at packing, pre-shipment, arrival — delivering consistent, real-time quality control that reduces disputes, improves accuracy, and protects margins.
Our proprietary AI models analyze carton images to identify surface defects, blemishes, and damage instantly — giving you objective, reliable quality checks.
AI-driven assessments ensure consistency in ripeness, size, and specifications, removing subjectivity from manual inspections.
From packing line to pre-shipment and arrival, every carton is scanned and scored, so you know exactly what’s moving through your supply chain.
Automated, accurate quality verification minimizes rejections, prevents unnecessary claims, and improves operational efficiency.
How AI-powered inspection can help improve your produce quality assurance process.
12,000/hr
DiMutoPQAI scans up to 12,000 fruits per hour with 85% accuracy — even in challenging conditions like low light — streamlining quality checks at scale.
2-in-1 AI
Dual models ensure precision: one detects each fruit in a carton, while the other classifies defects, specs or ripeness in real time.
< 1 min
Automated, AI-verified assessments generate quality reports in under a minute, enabling faster and more reliable resolution.
Inspect, score, and verify every fruit and carton with speed, accuracy, and consistency across your supply chain.
BUILT FOR SCALE
Handle high-volume inspections with ease. PQAI can process up to 12,000 fruits per hour with consistent accuracy, ensuring that even the largest shipments are analyzed efficiently without slowing down operations.
INSTANT INSIGHTS
Generate complete quality reports in less than one minute once cartons are scanned. Reports provide fruit-level defect detection, carton summaries, and aggregated quality views, which can be easily shared with trade partners for faster, more transparent decision-making.
FLEXIBLE COVERAGE
Our AI models are designed to work across multiple produce categories and quality parameters, including defects, ripeness, and specifications. Current models cover avocado, tomato, banana, and papaya, with the ability to develop custom models on request — giving you tailored quality control for your product lines.
FASTER ISSUE RESOLUTION
When cartons don’t meet specifications, PQAI allows you to immediately identify which boxes are affected and the nature of the defects. Problematic cartons can be filtered instantly, enabling fast and targeted resolution with your trade partners — minimizing disruption and protecting margins.
TRACK QUALITY OVER TIME
By capturing carton images at packing, pre-shipment, and arrival, PQAI makes it possible to track quality degradation across the supply chain. This stage-by-stage visibility provides a clear timeline of product condition and helps pinpoint where issues may arise during transit.
SEAMLESS CAPTURE
Quality data capture is simple and efficient. Use our DACKY device for automated, inline scanning at the packing line, or take a top-view carton photo with the mobile app. Either way, PQAI instantly processes the image and delivers AI-powered quality assessments without extra steps.
Discover how businesses have used DiMuto PQAI to improve their produce quality processes
Automating defect detection with AI
A leading avocado exporter transformed its packhouse operations by using DiMuto PQAI to automatically detect defects such as lenticel damage, rots, and chilling injuries.
With AI-driven quality scoring, they ensured every carton met buyer requirements, reduced rejections, and improved consistency across multiple packing facilities.
Bringing consistency to quality checks
One major tomato grower adopted DiMuto PQAI to standardize quality inspections across farms and packing lines.
The system identified issues like blotchy ripening and mechanical damage in real time, helping the team train staff, enforce grading standards, and deliver uniform quality to retailers.
Early detection of disease, grade issue
A tropical fruit producer used DiMuto PQAI to scan papayas during harvest and packing. The AI model flagged early signs of disease and maturity issues, allowing quick corrective action.
By digitizing quality data for each carton, the farm improved pack consistency and minimized claim losses at destination markets.
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