AI-Driven Grading for All Fruit Types — Scalable, Accurate, and Effortless
The Challenge of Grading Diverse Fruits with Consistency
Grading fruit is a delicate, labor-intensive process. Each type of fruit—whether apples, mangoes, pears, or citrus—comes with its own standards for size, ripeness, color, and surface condition.
Manual grading struggles to keep up with high-volume demands, introduces inconsistencies, and is increasingly affected by labor shortages. Producers and packhouses need a unified, intelligent solution that ensures quality while optimizing efficiency across a wide range of fruit types.
How Robovision Enables Universal Fruit Grading
Robovision’s AI-powered Fruit Grading System offers a flexible, high-accuracy solution built on our proven 2D Grading & Picking platform. Using standard 2D camera setups and advanced deep learning models, our system can be trained to detect and grade virtually any fruit variety in real time.
With Robovision, you get:
Versatile defect detection
From bruises and blemishes to ripeness and rot indicators.
Non-invasive grading by size, shape, and color
Adaptable for different fruit types.
Custom grading rules
Aligned with market, retailer, or export standards.
Self-learning models
Improve continuously based on live production data.
What sets Robovision apart is our no-code AI platform that enables your quality control teams—not just data scientists—to train, deploy, and update models as needed. Adjust to seasonal crops, new customer specifications, or visual variations with just a few clicks.
A Single Platform for Grading All Your Produce
Whether you process a single crop or a diverse fruit portfolio, Robovision’s Fruit Grading System brings consistency, scalability, and intelligence to your operations. Say goodbye to manual guesswork—and hello to smart, automated quality control.
Want to grade every piece of fruit, smarter?
Let’s build your future with vision-first automation.