Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparative Analysis of Non-Destructive Silkworm Cocoon Sex Classification using Machine Learning Models Based on X-Ray and Camera Images Subject The topic of the resource image processing; machine learning; sericulture; sex classification; silkworm Description An account of the resource Silk production plays a vital role in global economies, with sericulture heavily dependent on efficient seed production processes. Traditional methods involve manually cutting cocoons to classify silkworm sex, which leads to silk damage, labor intensiveness, and potential inaccuracies. In response, non-destructive technologies like X-ray and camera imaging have emerged, enabling sex classification without cocoon damage, thereby enhancing efficiency and reducing manual errors. This study undertakes a comparative analysis of X-ray and camera imaging methods for silkworm sex classification. X-ray imaging demonstrates superior efficiency in extracting detailed features from silkworm pupae, crucial for accurate classification. In contrast, camera imaging excels in the rapid and cost-effective classification of silkworms based on extracted features. The results reveal significant findings: using X-ray imaging model achieves 97.1% accuracy for FC1 and 96.3% accuracy for FC2, employing ensemble learning technique like AdaBoost. Meanwhile, camera imaging achieves an accuracy above 98% for both FC1 and FC2 using XGBoost, showcasing its effectiveness in real-time classification scenarios. Computational time analysis indicates that X-ray imaging is faster in feature extraction, while camera imaging consumes less memory during classification. These findings underscore the practical advantages of non-destructive imaging technologies and machine learning in revolutionizing sericulture practices. By enhancing productivity and sustainability through accurate sex classification of silkworms, these methods contribute significantly to the growth and efficiency of the silk industry. 2024 IEEE. Creator An entity primarily responsible for making the resource Thomas S.; Thomas J. Source A related resource from which the described resource is derived International Conference on Intelligent Algorithms for Computational Intelligence Systems, IACIS 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IACIS61494.2024.10721914" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IACIS61494.2024.10721914</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208794038&amp;doi=10.1109%2FIACIS61494.2024.10721914&amp;partnerID=40&amp;md5=e3fe5159f91da4ac01b834ec072f8486" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208794038&amp;doi=10.1109%2fIACIS61494.2024.10721914&amp;partnerID=40&amp;md5=e3fe5159f91da4ac01b834ec072f8486</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036066-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thomas S., Christ University, Computer Science and Engineering, Bangalore, India; Thomas J., Christ University, Computer Science and Engineering, Bangalore, India