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 Machine Learning based Plant Disease Identification by using Hybrid Nae Bayes with Decision Tree Algorithm Subject The topic of the resource Artificial Intelligence; Convoluted Neural Networks; Decision Tree; Machine Learning; Nae Bayes Description An account of the resource Artificial intelligence or machine learning as a domain started as a distinct domain marketplace for enthusiasts. Over an extended period of time, this has evolved into an industry with boundless potential. This is the focal point of a plethora of technologies like real-time analytics, deep learning in computer science. It's inherent to various customer needs such as fault detection, home automation, health monitoring devices as well as appliances, and multiple RPM devices Artificial intelligence which has been tested and trained to recognize and determine a plethora of flaws and inaccuracies. This could be intriguing procedures in day-to-day applications. An unimaginable number of prediction models, packages, libraries as well as sensors are utilized to sieve through flaws with the aid of mobile app development and other multispectral sensors. These trendy devices have become ever present and a part of our extensive routine. The demand for dependable and efficient algorithms is satisfied while implementing these devices. The objective primarily dictates emphasis on the prediction of plant diseases in the agricultural arena in reality by providing aid in the field of agriculture, and industry. In this case, the device incorporates a database which stores and keeps track of previously detected flaws or defects. In addition, the history of detected plant infections is maintained in an online repository. This can help with the forecast of the defects within the gadgets that are to be enhanced. Furthermore, the suggested approach of this text inculcates the invigilation of every leaf in the plant via machine learning model. Hence, this approach of implementation limits interaction of humans with the interface and it detects disease ridden plants efficiently with accuracy. The plant disease identification problem is to solve the proposed hybrid Nae Bayes with Decision Tree algorithm. The proposed model provides higher accuracy level compare to the regular model. 2023 IEEE. Creator An entity primarily responsible for making the resource Yetukuri N.K.; Maddali K.; Jayapandian N. Source A related resource from which the described resource is derived Proceedings - 5th International Conference on Smart Systems and Inventive Technology, ICSSIT 2023, pp. 852-858. 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/ICSSIT55814.2023.10061099" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSSIT55814.2023.10061099</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150679515&amp;doi=10.1109%2FICSSIT55814.2023.10061099&amp;partnerID=40&amp;md5=f6b8941020a61c77270cd0de26c16b75" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150679515&amp;doi=10.1109%2fICSSIT55814.2023.10061099&amp;partnerID=40&amp;md5=f6b8941020a61c77270cd0de26c16b75</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547467-2 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 Yetukuri N.K., Christ (Deemed to Be University), Department of Cse, India; Maddali K., Christ (Deemed to Be University), Department of Cse, India; Jayapandian N., Christ (Deemed to Be University), Department of Cse, India