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 Grading of Apples Using Multiple Features Subject The topic of the resource Apple; Discrete cosine transform; Drupes; Fast Fourier transform; Image processing; MATLAB; MLP; Naive Bayes; Random Forest; WEKA Description An account of the resource Apple is the most demanding food product that has the utmost importance when it comes to drupes. Food is the very basic necessity for our survival. Every new day brings a change, and the demand for a better quality is no greed. Quality food benefits the health of the living beings, and thus, it increases the economic growth of our country. There is a huge possibility that identifying the different varieties of apples is quite a tedious job for these traders and time consuming. Generally, identification is done manually by the very three basic senses: sight, hearing and smell. In the proposed work, an image processing technique is used to differentiate between the varieties of apples such that the manual process can be eliminated. Commercially available seven varieties of apple with various size, shape and color are considered to create database. Apples are purchased from different places across Karnataka, India to create the database. Various spatial and frequency domain based features are extracted from the images of apple. Naive Bayes, Random Forest and Multilayer perceptron (MLP) classifiers are used and got motivating results. An average accuracy of 78.47% is obtained using methods like Fourier Transform and Discrete Cosine Transform. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Sunil S.R.; Anita H.B.; Renupriya P. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-356, pp. 191-200. 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/10.1007/978-981-16-7952-0_18" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-7952-0_18</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130361613&amp;doi=10.1007%2F978-981-16-7952-0_18&amp;partnerID=40&amp;md5=c0460b83a93181bca693b53ba6950a4e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130361613&amp;doi=10.1007%2f978-981-16-7952-0_18&amp;partnerID=40&amp;md5=c0460b83a93181bca693b53ba6950a4e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981167951-3 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 Sunil S.R., Department of Computer Science, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India; Anita H.B., Department of Computer Science, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India; Renupriya P., Department of Computer Science, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India