Robotic tomato sorting application reaches 87% accuracy with multispectral imaging
Fotenix’s AQC (Automated Quality Control) system uses multispectral imaging to identify changes associated with damage, disease and mould “before visible symptoms develop,” says the developer (Image: Fotenix)
The QualiCrop project saw spectral imaging combined with robotics to detect tomato defects at packhouse speeds
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