Development of Two Smart Acoustic Yam Quality Detection Devices Using a Machine Learning Approach

Abstract excerpt

<title>Abstract</title> <p>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 usin...

Topics

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• Asteraceae
• Classification
• Crops, Agricultural
• Pattern Recognition, Automated
• Phenotype
• Plant Leaves
• Sensitivity and Specificity
• Software

Identifiers and source

Literature Corpus work

01742ea2-5a66-5fb7-ab76-16bb01a0e507

DOI

10.21203/rs.3.rs-2194989/v1