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 Statistical features learning to predict the crop yield in regional areas Subject The topic of the resource Classification; Clustering; Computer science; Machine learning; Statistical features Description An account of the resource The plethora of information presented in the form of benchmark dataset plays a significant role in analyzing and understanding the crop yield in certain regions of regional territory. The information may be presented in the form of attributes makes a prediction of crop yield in various regions of machine learning. The information considered for processing involves data cleaning initially followed by binning to reduce the missing data. The information collected is subjected to clustering of data items based on patterns of similarity, The data items that are similar in nature is fed to the system with similarity measure, which involves understanding the distance of data items from its related data item leading to hyper parameters for analyzing of information while calculating the crop yield. The information may be used to ascertain the patterns of data that exhibit similarity with nearest neighbor represented by another attribute. Thus, the research method has yielded an accuracy of 89.62% of classification for predicting the crop yield in agricultural areas of Karnataka region. 2022 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Ramanahalli P.P.; Siddamallu H.K.; Basavaraju R.K.Y. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-12, No. 5, pp. 5321-5329. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v12i5.pp5321-5329" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v12i5.pp5321-5329</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135259782&amp;doi=10.11591%2Fijece.v12i5.pp5321-5329&amp;partnerID=40&amp;md5=c921de52d50fb0823a25bfdda33c122e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135259782&amp;doi=10.11591%2fijece.v12i5.pp5321-5329&amp;partnerID=40&amp;md5=c921de52d50fb0823a25bfdda33c122e</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20888708 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 Ramanahalli P.P., School and Computer Science and Applications, REVA University, Bangalore, India; Siddamallu H.K., School of Computer Science and Applications, REVA University, Bangalore, India; Basavaraju R.K.Y., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India