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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Leaf Disease Identification in Rice Plants Using CNN Model Subject The topic of the resource CNN; Deep learning; Mobile application; ResNet50V2 Description An account of the resource Rice is a staple food crop for more than 10 countries. High consumption of rice demands better yield of crop. Fungal, bacterial and viral are different classes of diseases damaging rice crops which results in low and bad yield as per quality and quantity of the crop. Some of the most common diseases affecting plants are fungal blast, fungal brown spot, fungal sheath blight, bacterial blight and viral tungro. The deep learning CNN model with ResNet50V2 architecture was used in this paper to identify disease on the paddy leaves. Mobile application proposed in this paper will help farmers to detect disease on the leaves during their regular visit. Images were captured using this application. The captured images were tested using the trained deep learning model embedded with mobile application. This model predicts and displays input images along with the probabilities compared to each disease. The mobile application also provides necessary remedies for the identified disease with the help of hyperlink available in mobile application. The achieved probability that the model can truly classify the input image in this project was 97.67%, and the obtained validation accuracy was 98.86%. A solution with which farmers can identify diseases in rice leaves and take necessary actions for better crop yield has been demonstrated in this paper. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Reddy A.S.; Thomas J. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 17-31. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-9416-5_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9416-5_2</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133662692&amp;doi=10.1007%2F978-981-16-9416-5_2&amp;partnerID=40&amp;md5=5a5d69f444ba941ce366faa228e7861e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133662692&amp;doi=10.1007%2f978-981-16-9416-5_2&amp;partnerID=40&amp;md5=5a5d69f444ba941ce366faa228e7861e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Reddy A.S., Christ (Deemed-to-be-University), Karnataka, Bangalore, India; Thomas J., Christ (Deemed-to-be-University), Karnataka, Bangalore, India