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 An ensemble deep learning model for automatic classification of cotton leaves diseases Subject The topic of the resource Classification; Convolutional neural network; Ensemble model; Hyperparameter tuning; Machine learning Description An account of the resource Cotton plant (Gossypium herbaceum), is one of the significant fiber crop grown worldwide. However, the crop is quite prone to leaves diseases, for which deep learning (DL) techniques can be utilized for early disease prediction and prevent stakeholders from losing the harvest. The objective of this paper is to develop a novel ensemble based deep convolutional neural network (DCNN) model developed on two base pretrained models named: VGG16 and InceptionV3 for early detection of cotton leaves diseases. The proposed ensemble model trained on cotton leaves dataset reports higher training and testing prediction accuracies as compared to the base pretrained models. Given that, deep learning architectures have hyper-parameters, this paper presents exhaustive experimental evaluations on ensemble model to tune hyper-parameters named learning rate, optimizer and no of epochs. The suggested hyper-parameter settings can be directly utilized while employing the ensemble model for cotton plant leaves disease detection and prediction. With suggested hyper-parameters settings of learning rate 0.0001, 20 epochs and stochastic gradient descent (SGD) optimizer, ensemble model reported training and testing accuracies of 98% and 95% respectively, which was higher than the training and testing accuracies of VGG16 and InceptionV3 pretrained DCNN models. 2024 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Kukadiya H.; Arora N.; Meva D.; Srivastava S. Source A related resource from which the described resource is derived Indonesian Journal of Electrical Engineering and Computer Science, Vol-33, No. 3, pp. 1942-1949. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science 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/10.11591/ijeecs.v33.i3.pp1942-1949" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijeecs.v33.i3.pp1942-1949</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185585750&amp;doi=10.11591%2Fijeecs.v33.i3.pp1942-1949&amp;partnerID=40&amp;md5=69791800f23c19717224e468349a1fbc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185585750&amp;doi=10.11591%2fijeecs.v33.i3.pp1942-1949&amp;partnerID=40&amp;md5=69791800f23c19717224e468349a1fbc</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25024752 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 Kukadiya H., Department of Computer Application, Marwadi University, Rajkot, India; Arora N., Department of Computer Science, Kalindi College, University of Delhi, Delhi, India; Meva D., Department of Computer Application, Marwadi University, Rajkot, India; Srivastava S., School of Sciences, Christ (Deemed to be University), Delhi NCR, India