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 Deep Learning-Based Optimised CNN Model for Early Detection and Classification of Potato Leaf Disease Subject The topic of the resource Convolutional neural network; Early blight; Late blight; Potato disease; Potato plant Description An account of the resource After rice and wheat, potatoes are the third-largest crop grown for human use worldwide. The different illnesses that can harm a potato plant and lower the quality and quantity of the yield cause potato growers to suffer significant financial losses every year. While determining the presence of illnesses in potato plants, consider the state of the leaves. Early blight and late blight are two prevalent illnesses. A certain fungus causes early blight, while a specific bacterium causes late blight. Farmers can avoid waste and financial loss if they can identify these diseases early and treat them successfully. Three different types of data were used in this study's identification technique: healthy leaves, early blight, and late blight. In this study, I created a convolutional neural network (CNN) architecture-based system that employs deep learning to categorise the two illnesses in potato plants based on leaf conditions. The results of this experiment demonstrate that CNN outperforms every task currently being performed in the potato processing facility, which needed 32 batch sizes and 50 epochs to obtain an accuracy of about 98%. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Chinnaiyan R.; Prasad G.; Sabarmathi G.; Swarnamugi; Balachandar S.; Divya R. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-370, pp. 577-590. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-6702-5_47" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-6702-5_47</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177837014&amp;doi=10.1007%2F978-981-99-6702-5_47&amp;partnerID=40&amp;md5=356b45265721a1fceb79625537eea4ff" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177837014&amp;doi=10.1007%2f978-981-99-6702-5_47&amp;partnerID=40&amp;md5=356b45265721a1fceb79625537eea4ff</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981996701-8 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 Chinnaiyan R., Department of CSE, Alliance College of Engineering and Design, Alliance University, Bengaluru, India; Prasad G., School of CSE, Presidency University, Bengaluru, India; Sabarmathi G., School of Business and Management, CHRIST UNIVERSITY (Deemed to be University), Bengaluru, India; Swarnamugi, Department of CS, Jyoti Nivas College, Bengaluru, India; Balachandar S., CMR Institute of Technology, Bengaluru, India; Divya R., CMR Institute of Technology, Bengaluru, India