Advancements in Coffee Bean Species Classification: A Comprehensive Literature Review on Machine Learning and Image Processing Approaches

14 studies were reviewed to understand how machine learning techniques can be used to classify different types of coffee beans. The researchers used deep learning models to achieve precise categorization and identified Convolutional Neural Networks (CNN) and Artificial Neural Networks (ANN) as the leading models with superior accuracy. The report highlights the versatility and effectiveness of various models, emphasizing their dominance in this field. This study also discusses the challenges encountered in comprehending the findings of these models accurately and offers recommendations for future research. The knowledges serve as a foundation for enhancing existing methods and fostering innovative ideas in the development of universally applicable and comprehensive coffee bean classification models.