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 Efficient Disease Detection in Wheat Crops: A Hybrid Deep Learning Solution Subject The topic of the resource Decision Tree; Deep Learning; Disease Magnitude; Multi-classification; Wheat Diseases; Yellow Rust Description An account of the resource Wheat rust disease poses a significant danger to global food security and requires rapid, precise diagnosis to be effectively managed. Using a hybrid deep learning (DL) model consisting of a convolutional neural network (CNN) and a decision tree (DT), a new method for classifying wheat rust illness across six magnitude scales has been described in the proposed study. For training and assessing the model, a dataset of 50,000 wheat leaf photos representing a wide range of disease magnitude has been amazing. The suggested work developed a hybrid CNN-DT model with an amazing overall accuracy of 93.47% by carefully analyzing the data and crafting the model. The model's resilience in identifying multiple levels of disease magnitude was proved by the performance metrics for each disease magnitude class. The proposed hybrid model also outperformed state-of-the-art models in terms of accuracy, as shown by the comparisons conducted. The findings provide important new information on the potential of DL methods for wheat rust disease classification, which can then be used as a trusted resource for early disease diagnosis and smarter agricultural policymaking. In the face of agricultural diseases, the suggested model has important implications for improving crop management, reducing yield losses, and guaranteeing food security. 2023 IEEE. Creator An entity primarily responsible for making the resource Konidena A.; Shanbhog M.; Singh S.; Sharma V.; Jain A.K.; Sharma N. Source A related resource from which the described resource is derived Proceedings - International Conference on Technological Advancements in Computational Sciences, ICTACS 2023, pp. 648-654. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICTACS59847.2023.10389846" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTACS59847.2023.10389846</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185374849&amp;doi=10.1109%2FICTACS59847.2023.10389846&amp;partnerID=40&amp;md5=91d61b110abae6d16ce9423ee3d252e7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185374849&amp;doi=10.1109%2fICTACS59847.2023.10389846&amp;partnerID=40&amp;md5=91d61b110abae6d16ce9423ee3d252e7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034233-8 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 Konidena A., Iilm University, Department of Cse, Uttar Pradesh, Greater Noida, India; Shanbhog M., Christ University, Department of Computer Science, Uttar Pradesh, Ghaziabad, India; Singh S., School of Computing MIT-ADTU, Department of Information Technology, Pune, India; Sharma V., Graphic Era Hill University, Uttarakhand, Dehradun, India; Jain A.K., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India; Sharma N., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India