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 Sugarcane Leaf Disease Classification Using Convolutional Neural Network Subject The topic of the resource bacterial leaves; Classify; Convolutional Neural Network; image dataset Description An account of the resource Indian sugarcane is of good quality, and the country exports significant quantities of sugar and sugarcane-based products to various countries worldwide. However, the quality of the sugarcane can vary depending on the specific variety and growing conditions, and exporters need to ensure that the product meets the quality standards of the importing country. To maintain the quality of sugarcane during transportation, it is crucial to ensure that it is harvested at the right time and handled carefully during loading and unloading. However, the farmers cultivating the sugarcane face a significant issue dealing with bacterial infection in the plants. In order to stop the disease from spreading further, we use Convolutional Neural Networks in our article to extract information from sugarcane leaves and construct an algorithm that accurately classifies bacterial leaves. Using an image dataset that includes pictures of both healthy and ill plants, identifying the image's key characteristics, and using the image to help the classifier provide a reliable result are all included in the total process. Our study will save farmers time and effort by identifying the decaying plants by looking for bacterial patches on the leaves. 2024 IEEE. Creator An entity primarily responsible for making the resource Suryaprabha D.; Saraswathi S.; Lekha J.; Loghesh V.S. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 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/TQCEBT59414.2024.10545124" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545124</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204433209&amp;doi=10.1109%2FTQCEBT59414.2024.10545124&amp;partnerID=40&amp;md5=498a3ba4f4099d78945b176750a218f1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204433209&amp;doi=10.1109%2fTQCEBT59414.2024.10545124&amp;partnerID=40&amp;md5=498a3ba4f4099d78945b176750a218f1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Suryaprabha D., Nehru Arts and Science College, Dept. of It &amp; Dcfs, Coimbatore, India; Saraswathi S., Academic Affairs Nehru Arts and Science College, Coimbatore, India; Lekha J., Christ University, Dept.of Data Science, Lavasa, Pune, India; Loghesh V.S., Christ University, Dept.of Data Science, Lavasa, Pune, India