Nondestructive internal quality evaluation of pears using X-ray imaging and Machine Learning KU Leuven
Pear fruit are prone to developing internal disorders that leave consumers dissatisfied and unwilling to repeat their purchase. It must thus be prevented that defect fruit reach the consumer. Internal disorders, however, are invisible from the surface of the fruit. In practice, batches of fruit are, therefore, often discarded based on the result of a manual destructive inspection of a small number of randomly sampled fruit. This leads to ...