Development of two smart acoustic yam quality detection devices using a machine learning approach.

ABSTRACT: Quality detection has been a major problem in the agriculture and food industries. This operation is mostly done by a subjective sensory method which is prone to high error and food destruction. Therefore, there is a need to apply artificial intelligence using a machine learning approach. This study developed two intelligent acoustic yam quality detection and classification devices using two sound-generating techniques. The software (multi-wave frequency generator) sound-generating technique generated sound from a laptop to a speaker inside a detecting chamber. This sound passes through the yam and was received on the opposite side by a microphone, into another laptop for analysis using visual analyzer software. The impact sound-generating technique used sound generated from a gentle impac

SUBMITTER: Audu J 

PROVIDER: S-EPMC10034441 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature