Automated, AI-Powered Potato Grading for Maximum Yield and Quality
The Challenge of Consistent, High-Speed Potato Grading
In high-output agricultural environments, manual grading of potatoes is inconsistent, time-consuming, and subject to human error.
Sorting for size, shape, and defects—like greening, bruising, or scab—across thousands of potatoes per hour is impossible to scale with manual labor alone. As the labor shortage persists and the demand for quality increases, producers need smart, scalable, and precise grading systems.
How Robovision Delivers Smarter Grading
At Robovision, we are redefining agricultural automation with an advanced AI-powered computer vision platform. Leveraging deep learning, the Optical Potato Grader offers real-time, high-accuracy grading based on visual features captured from 2D camera systems.
Built on the same core technology that powers our 2D Grading & Picking solution, the Optical Potato Grader brings:
Material recognition
From skin blemishes to shape irregularities.
Size and weight estimation
Without the need for physical contact.
Custom grading classes
Tailored to your market requirements.
Continuous learning
A system gets smarter over time.
The Robovision AI Platform enables non-technical users to train, deploy, and update AI models quickly. Rather than being completely dependent on a data science team, factory domain experts can easily adapt the grading rules to meet evolving quality standards or seasonal changes in crop appearance.
A New Standard for Potato Processing
The Optical Potato Grader transforms traditional sorting into a scalable, digital process—improving product consistency, reducing waste, and maximizing profitability. Whether you're a small-scale grower or a global producer, Robovision delivers the AI you need to stay ahead.
Ready to grade smarter?
Let’s bring vision to your production line.