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 Articles Article Faculty Publications -Articles 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 CNN-based Indian medicinal leaf type identification and medical use recommendation Subject The topic of the resource Confusion matrix; Convolution neural network; Gradio; Graphical user interface Description An account of the resource Medicinal leaves are playing a vital role in our everyday life. There are an enormous amount of species present in the world. Identification of each type would be a tedious task. Using image processing technology, we can overcome this problem by providing computer vision with the help of a convolution neural network (CNN). The objective of this research is to find out the best CNN model that helps in classifying the plant leaf species and identifying its category. In this research work, the proposed basic CNN model consisting of four convolution layers uses ten different medicinal leaf species each belonging to two categories providing an accuracy of 96.88%. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024. Creator An entity primarily responsible for making the resource Praveena S.; Pavithra S.M.; Kumar A.D.V.; Veeresha P. Source A related resource from which the described resource is derived Neural Computing and Applications, Vol-36, No. 10, pp. 5399-5412. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s00521-023-09352-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s00521-023-09352-9</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181231337&amp;doi=10.1007%2Fs00521-023-09352-9&amp;partnerID=40&amp;md5=7bd41c2ae572b0138d179435a4809b86" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181231337&amp;doi=10.1007%2fs00521-023-09352-9&amp;partnerID=40&amp;md5=7bd41c2ae572b0138d179435a4809b86</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9410643 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Praveena S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Pavithra S.M., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Kumar A.D.V., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bengaluru, 560029, India; Veeresha P., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India