AI-Powered Mango Grading for Superior Quality and Consistency
The Challenge of Grading Mangoes Accurately and Efficiently
Manual grading of mangoes presents unique challenges. Mangoes vary significantly in size, shape, color, and skin texture across different varieties and ripeness stages. Human graders struggle to consistently assess surface defects like blemishes, sap burns, and bruises at industrial speeds.
With increasing consumer demand for high-quality produce and mounting labor shortages, producers need a scalable, intelligent grading system that ensures quality while boosting throughput.
How Robovision Elevates Mango Grading with AI
At Robovision, we harness the power of AI-driven computer vision to revolutionize agricultural automation. Our Optical Mango Grader uses advanced deep learning models to inspect and grade mangoes in real time using high-resolution 2D camera systems.
Building on our proven 2D Grading & Picking platform, the Optical Mango Grader delivers:
High-precision defect detection
From discoloration and shriveling to external damages.
Adaptive intelligence
AI that continuously improves from new data.
Custom grading parameters
aligned with market and export standards.
Seamless integration
Plug-and-play with conveyor lines and sorting systems.
With Robovision’s no-code AI platform, your in-house experts—not just data scientists—can train, adjust, and deploy custom grading models. This empowers your team to adapt swiftly to seasonal changes or market preferences, reducing dependency on technical resources.
A Smarter Way to Grade Mangoes
Robovision's Optical Mango Grader turns subjective, manual inspection into a precise, automated process. The result? Improved product uniformity, reduced waste, and increased operational efficiency—at any scale.
Ready to upgrade your mango processing?
Let’s bring intelligent vision to your production line.