학술논문

Quality Grading of Beef using Deep Convolutional Neural Network
Document Type
Conference
Source
2023 9th International Conference on Information Technology Trends (ITT) Information Technology Trends (ITT), 2023 9th International Conference on. :73-78 May, 2023
Subject
Computing and Processing
Robotics and Control Systems
Training
Degradation
Analytical models
Pipelines
Predictive models
Market research
Data models
CNN
classification
Beef
transfer learning
Deep learning
food grading
Computer Vision
Language
Abstract
Beef is one of the most widely consumed meat, being an organic substance it is prone to degradation over time. In our paper we have proposed a Convolutional Neural Network model to grade a given sample of Beef and predict its freshness as good or bad. We have proposed a CNN model architecture along with a data (image) pre-processing pipeline that can be used to classify a given Beef sample. We have done comparative analysis between different pre-processing pipelines as well as other CNN based classification models and after training have achieved 99.63% test accuracy.