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This thesis explores the use of a custom-built CT scanner to assess the postharvest quality of yellow sweet onions affected by pathogens and mechanical damage. The study analyzes CT images to identify features indicative of quality degradation, aiming to improve quality control in onion packing houses. Key pathogens examined include Burkholderia cepacia, Botrytis allii, and Pseudomonas viridiflava.

Author

Sudha

Language

EN