Abstract
AbstractThe safety and quality of the food are considered an essential issue in the entire world. This is due to food being the basis of human health. Nowadays, machine learning algorithms have embodied the recent technology in all stages of food processing such as food grading, food quality determination, and food classification. Pistachio nuts have an important role in the agricultural economy. To increase the efficiency of post-harvest industrial processes, there is a need to introduce technologies for classifying different species of pistachio. This study considers an automated model to separate pistachio species. The proposed pistachio species classification consists of three main phases; features selection based on slime mould algorithm phase, feature interpretation based on explainable artificial intelligence phase, and finally classification of pistachio species using logistic regression phase. The proposed pistachio species classification model obtained overall 90% classification accuracy, 90% precision, and 91% f1-score.KeywordsExplainable artificial intelligenceSwarm intelligenceFeature selectionPistachio speciesFood Industry
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
